pipeline_tag stringclasses 48
values | library_name stringclasses 198
values | text stringlengths 1 900k | metadata stringlengths 2 438k | id stringlengths 5 122 | last_modified null | tags listlengths 1 1.84k | sha null | created_at stringlengths 25 25 | arxiv listlengths 0 201 | languages listlengths 0 1.83k | tags_str stringlengths 17 9.34k | text_str stringlengths 0 389k | text_lists listlengths 0 722 | processed_texts listlengths 1 723 | tokens_length listlengths 1 723 | input_texts listlengths 1 1 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
null | transformers |
# DavidAU/multi_verse_model-10.7B-Q6_K-GGUF
This model was converted to GGUF format from [`Joseph717171/multi_verse_model-10.7B`](https://huggingface.co/Joseph717171/multi_verse_model-10.7B) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [origi... | {"license": "apache-2.0", "library_name": "transformers", "tags": ["mergekit", "merge", "llama-cpp", "gguf-my-repo"], "base_model": []} | DavidAU/multi_verse_model-10.7B-Q6_K-GGUF | null | [
"transformers",
"gguf",
"mergekit",
"merge",
"llama-cpp",
"gguf-my-repo",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2024-04-13T07:35:18+00:00 | [] | [] | TAGS
#transformers #gguf #mergekit #merge #llama-cpp #gguf-my-repo #license-apache-2.0 #endpoints_compatible #region-us
|
# DavidAU/multi_verse_model-10.7B-Q6_K-GGUF
This model was converted to GGUF format from 'Joseph717171/multi_verse_model-10.7B' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
CLI... | [
"# DavidAU/multi_verse_model-10.7B-Q6_K-GGUF\nThis model was converted to GGUF format from 'Joseph717171/multi_verse_model-10.7B' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
"## Use with URL\n\nInstall URL through brew.\n\n\nInvoke the URL server ... | [
"TAGS\n#transformers #gguf #mergekit #merge #llama-cpp #gguf-my-repo #license-apache-2.0 #endpoints_compatible #region-us \n",
"# DavidAU/multi_verse_model-10.7B-Q6_K-GGUF\nThis model was converted to GGUF format from 'Joseph717171/multi_verse_model-10.7B' using URL via the URL's GGUF-my-repo space.\nRefer to the... | [
44,
83,
52
] | [
"TAGS\n#transformers #gguf #mergekit #merge #llama-cpp #gguf-my-repo #license-apache-2.0 #endpoints_compatible #region-us \n# DavidAU/multi_verse_model-10.7B-Q6_K-GGUF\nThis model was converted to GGUF format from 'Joseph717171/multi_verse_model-10.7B' using URL via the URL's GGUF-my-repo space.\nRefer to the origi... |
text-classification | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | acuvity/text-subject_classification-deberta-v3-base-single-label-textbooks-zg | null | [
"transformers",
"safetensors",
"deberta-v2",
"text-classification",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-13T07:35:46+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #deberta-v2 #text-classification #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Developed by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Model type: \n- Language(s)... | [
"TAGS\n#transformers #safetensors #deberta-v2 #text-classification #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #region-us \n",
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This ... | [
42,
6,
4,
75,
23,
3,
5,
8,
9,
8,
34,
20,
4,
5,
5,
11,
13,
12,
3,
10,
6,
5,
6,
4,
5,
7,
49,
7,
7,
5,
5,
15,
7,
7,
8,
5
] | [
"TAGS\n#transformers #safetensors #deberta-v2 #text-classification #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #region-us \n# Model Card for Model ID## Model Details### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has bee... |
null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
weighted/imatrix quants of https://huggingface.co/Sao10K/Sensualize-Mixtral-bf16
<!-- provided-files -->
static quants are available at https://huggingface.co/mradermacher/Sensualize... | {"language": ["en"], "license": "cc-by-nc-4.0", "library_name": "transformers", "datasets": ["NobodyExistsOnTheInternet/full120k"], "base_model": "Sao10K/Sensualize-Mixtral-bf16", "quantized_by": "mradermacher"} | mradermacher/Sensualize-Mixtral-bf16-i1-GGUF | null | [
"transformers",
"gguf",
"en",
"dataset:NobodyExistsOnTheInternet/full120k",
"base_model:Sao10K/Sensualize-Mixtral-bf16",
"license:cc-by-nc-4.0",
"endpoints_compatible",
"region:us"
] | null | 2024-04-13T07:43:25+00:00 | [] | [
"en"
] | TAGS
#transformers #gguf #en #dataset-NobodyExistsOnTheInternet/full120k #base_model-Sao10K/Sensualize-Mixtral-bf16 #license-cc-by-nc-4.0 #endpoints_compatible #region-us
| About
-----
weighted/imatrix quants of URL
static quants are available at URL
Usage
-----
If you are unsure how to use GGUF files, refer to one of TheBloke's
READMEs for
more details, including on how to concatenate multi-part files.
Provided Quants
---------------
(sorted by size, not necessarily quality. ... | [] | [
"TAGS\n#transformers #gguf #en #dataset-NobodyExistsOnTheInternet/full120k #base_model-Sao10K/Sensualize-Mixtral-bf16 #license-cc-by-nc-4.0 #endpoints_compatible #region-us \n"
] | [
63
] | [
"TAGS\n#transformers #gguf #en #dataset-NobodyExistsOnTheInternet/full120k #base_model-Sao10K/Sensualize-Mixtral-bf16 #license-cc-by-nc-4.0 #endpoints_compatible #region-us \n"
] |
null | null |
# DavidAU/LimaRP-daybreak-7B-Q6_K-GGUF
This model was converted to GGUF format from [`SilverFan/LimaRP-daybreak-7B`](https://huggingface.co/SilverFan/LimaRP-daybreak-7B) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original model card](https... | {"tags": ["merge", "mergekit", "lazymergekit", "lemonilia/LimaRP-Mistral-7B-v0.1", "crestf411/daybreak-kunoichi-2dpo-7b", "llama-cpp", "gguf-my-repo"], "base_model": ["lemonilia/LimaRP-Mistral-7B-v0.1", "crestf411/daybreak-kunoichi-2dpo-7b"]} | DavidAU/LimaRP-daybreak-7B-Q6_K-GGUF | null | [
"gguf",
"merge",
"mergekit",
"lazymergekit",
"lemonilia/LimaRP-Mistral-7B-v0.1",
"crestf411/daybreak-kunoichi-2dpo-7b",
"llama-cpp",
"gguf-my-repo",
"base_model:lemonilia/LimaRP-Mistral-7B-v0.1",
"base_model:crestf411/daybreak-kunoichi-2dpo-7b",
"region:us"
] | null | 2024-04-13T07:43:55+00:00 | [] | [] | TAGS
#gguf #merge #mergekit #lazymergekit #lemonilia/LimaRP-Mistral-7B-v0.1 #crestf411/daybreak-kunoichi-2dpo-7b #llama-cpp #gguf-my-repo #base_model-lemonilia/LimaRP-Mistral-7B-v0.1 #base_model-crestf411/daybreak-kunoichi-2dpo-7b #region-us
|
# DavidAU/LimaRP-daybreak-7B-Q6_K-GGUF
This model was converted to GGUF format from 'SilverFan/LimaRP-daybreak-7B' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
CLI:
Server:
... | [
"# DavidAU/LimaRP-daybreak-7B-Q6_K-GGUF\nThis model was converted to GGUF format from 'SilverFan/LimaRP-daybreak-7B' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
"## Use with URL\n\nInstall URL through brew.\n\n\nInvoke the URL server or the CLI.\n... | [
"TAGS\n#gguf #merge #mergekit #lazymergekit #lemonilia/LimaRP-Mistral-7B-v0.1 #crestf411/daybreak-kunoichi-2dpo-7b #llama-cpp #gguf-my-repo #base_model-lemonilia/LimaRP-Mistral-7B-v0.1 #base_model-crestf411/daybreak-kunoichi-2dpo-7b #region-us \n",
"# DavidAU/LimaRP-daybreak-7B-Q6_K-GGUF\nThis model was converted... | [
112,
76,
52
] | [
"TAGS\n#gguf #merge #mergekit #lazymergekit #lemonilia/LimaRP-Mistral-7B-v0.1 #crestf411/daybreak-kunoichi-2dpo-7b #llama-cpp #gguf-my-repo #base_model-lemonilia/LimaRP-Mistral-7B-v0.1 #base_model-crestf411/daybreak-kunoichi-2dpo-7b #region-us \n# DavidAU/LimaRP-daybreak-7B-Q6_K-GGUF\nThis model was converted to GG... |
null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# gemma-finetuning
This model is a fine-tuned version of [google/gemma-2b](https://huggingface.co/google/gemma-2b) on the generato... | {"license": "gemma", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer", "ipex", "GPU Max 1100", "Intel(R) Data Center GPU Max 1100"], "datasets": ["generator"], "base_model": "google/gemma-2b", "model-index": [{"name": "gemma-finetuning", "results": []}]} | rppadmakumar/gemma-2b-finetuned | null | [
"peft",
"safetensors",
"trl",
"sft",
"generated_from_trainer",
"ipex",
"GPU Max 1100",
"Intel(R) Data Center GPU Max 1100",
"dataset:generator",
"base_model:google/gemma-2b",
"license:gemma",
"region:us"
] | null | 2024-04-13T07:52:06+00:00 | [] | [] | TAGS
#peft #safetensors #trl #sft #generated_from_trainer #ipex #GPU Max 1100 #Intel(R) Data Center GPU Max 1100 #dataset-generator #base_model-google/gemma-2b #license-gemma #region-us
| gemma-finetuning
================
This model is a fine-tuned version of google/gemma-2b on the generator dataset.
It achieves the following results on the evaluation set:
* Loss: 2.1674
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More i... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 1e-05\n* train\\_batch\\_size: 2\n* eval\\_batch\\_size: 8\n* seed: 42\n* gradient\\_accumulation\\_steps: 4\n* total\\_train\\_batch\\_size: 8\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e... | [
"TAGS\n#peft #safetensors #trl #sft #generated_from_trainer #ipex #GPU Max 1100 #Intel(R) Data Center GPU Max 1100 #dataset-generator #base_model-google/gemma-2b #license-gemma #region-us \n",
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 1e-05... | [
63,
141,
5,
52
] | [
"TAGS\n#peft #safetensors #trl #sft #generated_from_trainer #ipex #GPU Max 1100 #Intel(R) Data Center GPU Max 1100 #dataset-generator #base_model-google/gemma-2b #license-gemma #region-us \n### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 1e-05\n* tr... |
text2text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | Den4ikAI/umt5-small-ruen | null | [
"transformers",
"safetensors",
"t5",
"text2text-generation",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-13T07:54:12+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #t5 #text2text-generation #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Developed by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Model type: \n- Language(s)... | [
"TAGS\n#transformers #safetensors #t5 #text2text-generation #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been push... | [
46,
6,
4,
75,
23,
3,
5,
8,
9,
8,
34,
20,
4,
5,
5,
11,
13,
12,
3,
10,
6,
5,
6,
4,
5,
7,
49,
7,
7,
5,
5,
15,
7,
7,
8,
5
] | [
"TAGS\n#transformers #safetensors #t5 #text2text-generation #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n# Model Card for Model ID## Model Details### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. Thi... |
text-generation | transformers |
# Rogermerge2-12B-MoE
Rogermerge2-12B-MoE is a Mixture of Experts (MoE) made with the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
* [allknowingroger/MultiMerge-7B-slerp](https://huggingface.co/allknowingroger/MultiMerge-7B-slerp)
* [all... | {"license": "apache-2.0", "tags": ["moe", "frankenmoe", "merge", "mergekit", "lazymergekit", "allknowingroger/MultiMerge-7B-slerp", "allknowingroger/RogerMerge-7B-slerp"], "base_model": ["allknowingroger/MultiMerge-7B-slerp", "allknowingroger/RogerMerge-7B-slerp"]} | allknowingroger/Rogermerge2-12B-MoE | null | [
"transformers",
"safetensors",
"mixtral",
"text-generation",
"moe",
"frankenmoe",
"merge",
"mergekit",
"lazymergekit",
"allknowingroger/MultiMerge-7B-slerp",
"allknowingroger/RogerMerge-7B-slerp",
"base_model:allknowingroger/MultiMerge-7B-slerp",
"base_model:allknowingroger/RogerMerge-7B-sle... | null | 2024-04-13T07:56:14+00:00 | [] | [] | TAGS
#transformers #safetensors #mixtral #text-generation #moe #frankenmoe #merge #mergekit #lazymergekit #allknowingroger/MultiMerge-7B-slerp #allknowingroger/RogerMerge-7B-slerp #base_model-allknowingroger/MultiMerge-7B-slerp #base_model-allknowingroger/RogerMerge-7B-slerp #license-apache-2.0 #autotrain_compatible #e... |
# Rogermerge2-12B-MoE
Rogermerge2-12B-MoE is a Mixture of Experts (MoE) made with the following models using LazyMergekit:
* allknowingroger/MultiMerge-7B-slerp
* allknowingroger/RogerMerge-7B-slerp
## Configuration
## Usage
| [
"# Rogermerge2-12B-MoE\n\nRogermerge2-12B-MoE is a Mixture of Experts (MoE) made with the following models using LazyMergekit:\n* allknowingroger/MultiMerge-7B-slerp\n* allknowingroger/RogerMerge-7B-slerp",
"## Configuration",
"## Usage"
] | [
"TAGS\n#transformers #safetensors #mixtral #text-generation #moe #frankenmoe #merge #mergekit #lazymergekit #allknowingroger/MultiMerge-7B-slerp #allknowingroger/RogerMerge-7B-slerp #base_model-allknowingroger/MultiMerge-7B-slerp #base_model-allknowingroger/RogerMerge-7B-slerp #license-apache-2.0 #autotrain_compati... | [
139,
74,
3,
3
] | [
"TAGS\n#transformers #safetensors #mixtral #text-generation #moe #frankenmoe #merge #mergekit #lazymergekit #allknowingroger/MultiMerge-7B-slerp #allknowingroger/RogerMerge-7B-slerp #base_model-allknowingroger/MultiMerge-7B-slerp #base_model-allknowingroger/RogerMerge-7B-slerp #license-apache-2.0 #autotrain_compati... |
null | null |
# DavidAU/solarized-18B-dpo-Q6_K-GGUF
This model was converted to GGUF format from [`vicgalle/solarized-18B-dpo`](https://huggingface.co/vicgalle/solarized-18B-dpo) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original model card](https://hu... | {"license": "apache-2.0", "tags": ["dpo", "18B", "merge", "llama-cpp", "gguf-my-repo"], "datasets": ["argilla/distilabel-intel-orca-dpo-pairs"], "base_model": ["vicgalle/franken-SOLAR-18B-v1.0"], "model-index": [{"name": "solarized-18B-dpo", "results": [{"task": {"type": "text-generation", "name": "Text Generation"}, "... | DavidAU/solarized-18B-dpo-Q6_K-GGUF | null | [
"gguf",
"dpo",
"18B",
"merge",
"llama-cpp",
"gguf-my-repo",
"dataset:argilla/distilabel-intel-orca-dpo-pairs",
"base_model:vicgalle/franken-SOLAR-18B-v1.0",
"license:apache-2.0",
"model-index",
"region:us"
] | null | 2024-04-13T07:57:12+00:00 | [] | [] | TAGS
#gguf #dpo #18B #merge #llama-cpp #gguf-my-repo #dataset-argilla/distilabel-intel-orca-dpo-pairs #base_model-vicgalle/franken-SOLAR-18B-v1.0 #license-apache-2.0 #model-index #region-us
|
# DavidAU/solarized-18B-dpo-Q6_K-GGUF
This model was converted to GGUF format from 'vicgalle/solarized-18B-dpo' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
CLI:
Server:
... | [
"# DavidAU/solarized-18B-dpo-Q6_K-GGUF\nThis model was converted to GGUF format from 'vicgalle/solarized-18B-dpo' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
"## Use with URL\n\nInstall URL through brew.\n\n\nInvoke the URL server or the CLI.\n\nC... | [
"TAGS\n#gguf #dpo #18B #merge #llama-cpp #gguf-my-repo #dataset-argilla/distilabel-intel-orca-dpo-pairs #base_model-vicgalle/franken-SOLAR-18B-v1.0 #license-apache-2.0 #model-index #region-us \n",
"# DavidAU/solarized-18B-dpo-Q6_K-GGUF\nThis model was converted to GGUF format from 'vicgalle/solarized-18B-dpo' usi... | [
87,
77,
52
] | [
"TAGS\n#gguf #dpo #18B #merge #llama-cpp #gguf-my-repo #dataset-argilla/distilabel-intel-orca-dpo-pairs #base_model-vicgalle/franken-SOLAR-18B-v1.0 #license-apache-2.0 #model-index #region-us \n# DavidAU/solarized-18B-dpo-Q6_K-GGUF\nThis model was converted to GGUF format from 'vicgalle/solarized-18B-dpo' using URL... |
text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# sparse_mistral_7b_refined_web_50p_2024-04-13
This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingfa... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "mistralai/Mistral-7B-v0.1", "model-index": [{"name": "sparse_mistral_7b_refined_web_50p_2024-04-13", "results": []}]} | thrunlab/sparse_mistral_7b_refined_web_50p_2024-04-13 | null | [
"transformers",
"safetensors",
"sparse_llama",
"text-generation",
"generated_from_trainer",
"custom_code",
"base_model:mistralai/Mistral-7B-v0.1",
"license:apache-2.0",
"autotrain_compatible",
"region:us"
] | null | 2024-04-13T07:57:43+00:00 | [] | [] | TAGS
#transformers #safetensors #sparse_llama #text-generation #generated_from_trainer #custom_code #base_model-mistralai/Mistral-7B-v0.1 #license-apache-2.0 #autotrain_compatible #region-us
| sparse\_mistral\_7b\_refined\_web\_50p\_2024-04-13
==================================================
This model is a fine-tuned version of mistralai/Mistral-7B-v0.1 on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 2.1985
Model description
-----------------
More information ... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 1e-05\n* train\\_batch\\_size: 1\n* eval\\_batch\\_size: 4\n* seed: 0\n* distributed\\_type: multi-GPU\n* num\\_devices: 4\n* gradient\\_accumulation\\_steps: 8\n* total\\_train\\_batch\\_size: 32\n* ... | [
"TAGS\n#transformers #safetensors #sparse_llama #text-generation #generated_from_trainer #custom_code #base_model-mistralai/Mistral-7B-v0.1 #license-apache-2.0 #autotrain_compatible #region-us \n",
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: ... | [
62,
155,
5,
44
] | [
"TAGS\n#transformers #safetensors #sparse_llama #text-generation #generated_from_trainer #custom_code #base_model-mistralai/Mistral-7B-v0.1 #license-apache-2.0 #autotrain_compatible #region-us \n### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 1e-05\... |
text-classification | transformers |
From this model you can predict the sentiment of user review text. Example of user reviews (mobile applicatin, Google Maps, or online store).
Predections:
LABEL_0 : Negative
LABEL_1 : Neutral
LABEL_2 : Positive | {"language": ["en"], "tags": ["sentiemtns", "user_reviewes", "negative", "positive", "neutral"], "metrics": ["accuracy"], "pipeline_tag": "text-classification", "base_model": "cardiffnlp/twitter-roberta-base-sentiment-latest"} | merqsous/roberta-sentiment-user-review | null | [
"transformers",
"safetensors",
"roberta",
"text-classification",
"sentiemtns",
"user_reviewes",
"negative",
"positive",
"neutral",
"en",
"base_model:cardiffnlp/twitter-roberta-base-sentiment-latest",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-13T07:57:45+00:00 | [] | [
"en"
] | TAGS
#transformers #safetensors #roberta #text-classification #sentiemtns #user_reviewes #negative #positive #neutral #en #base_model-cardiffnlp/twitter-roberta-base-sentiment-latest #autotrain_compatible #endpoints_compatible #region-us
|
From this model you can predict the sentiment of user review text. Example of user reviews (mobile applicatin, Google Maps, or online store).
Predections:
LABEL_0 : Negative
LABEL_1 : Neutral
LABEL_2 : Positive | [] | [
"TAGS\n#transformers #safetensors #roberta #text-classification #sentiemtns #user_reviewes #negative #positive #neutral #en #base_model-cardiffnlp/twitter-roberta-base-sentiment-latest #autotrain_compatible #endpoints_compatible #region-us \n"
] | [
63
] | [
"TAGS\n#transformers #safetensors #roberta #text-classification #sentiemtns #user_reviewes #negative #positive #neutral #en #base_model-cardiffnlp/twitter-roberta-base-sentiment-latest #autotrain_compatible #endpoints_compatible #region-us \n"
] |
null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | Anaphase21/bloom_for_eng1 | null | [
"transformers",
"safetensors",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-04-13T07:58:15+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Developed by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Model type: \n- Language(s)... | [
"TAGS\n#transformers #safetensors #arxiv-1910.09700 #endpoints_compatible #region-us \n",
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Devel... | [
26,
6,
4,
75,
23,
3,
5,
8,
9,
8,
34,
20,
4,
5,
5,
11,
13,
12,
3,
10,
6,
5,
6,
4,
5,
7,
49,
7,
7,
5,
5,
15,
7,
7,
8,
5
] | [
"TAGS\n#transformers #safetensors #arxiv-1910.09700 #endpoints_compatible #region-us \n# Model Card for Model ID## Model Details### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Developed by: \n- Funde... |
text-generation | transformers |
# nishide-dev/suzume-poc-mlx-4bit
This model was converted to MLX format from [`alfredplpl/suzume-poc`]() using mlx-lm version **0.7.0**.
Refer to the [original model card](https://huggingface.co/alfredplpl/suzume-poc) for more details on the model.
## Use with mlx
```bash
pip install mlx-lm
```
```python
from mlx_l... | {"language": ["ja", "en"], "license": "other", "library_name": "transformers", "tags": ["mlx"], "license_name": "gemma-terms-of-use", "license_link": "https://www.kaggle.com/models/google/gemma/license/consent", "inference": false} | nishide-dev/suzume-poc-mlx-4bit | null | [
"transformers",
"safetensors",
"gemma",
"text-generation",
"mlx",
"ja",
"en",
"license:other",
"autotrain_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-13T08:01:25+00:00 | [] | [
"ja",
"en"
] | TAGS
#transformers #safetensors #gemma #text-generation #mlx #ja #en #license-other #autotrain_compatible #text-generation-inference #region-us
|
# nishide-dev/suzume-poc-mlx-4bit
This model was converted to MLX format from ['alfredplpl/suzume-poc']() using mlx-lm version 0.7.0.
Refer to the original model card for more details on the model.
## Use with mlx
| [
"# nishide-dev/suzume-poc-mlx-4bit\nThis model was converted to MLX format from ['alfredplpl/suzume-poc']() using mlx-lm version 0.7.0.\nRefer to the original model card for more details on the model.",
"## Use with mlx"
] | [
"TAGS\n#transformers #safetensors #gemma #text-generation #mlx #ja #en #license-other #autotrain_compatible #text-generation-inference #region-us \n",
"# nishide-dev/suzume-poc-mlx-4bit\nThis model was converted to MLX format from ['alfredplpl/suzume-poc']() using mlx-lm version 0.7.0.\nRefer to the original mode... | [
39,
70,
6
] | [
"TAGS\n#transformers #safetensors #gemma #text-generation #mlx #ja #en #license-other #autotrain_compatible #text-generation-inference #region-us \n# nishide-dev/suzume-poc-mlx-4bit\nThis model was converted to MLX format from ['alfredplpl/suzume-poc']() using mlx-lm version 0.7.0.\nRefer to the original model card... |
null | null |
# DavidAU/franken-SOLAR-18B-v1.0-Q6_K-GGUF
This model was converted to GGUF format from [`vicgalle/franken-SOLAR-18B-v1.0`](https://huggingface.co/vicgalle/franken-SOLAR-18B-v1.0) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original model c... | {"license": "apache-2.0", "tags": ["mergekit", "merge", "solar", "llama-cpp", "gguf-my-repo"], "base_model": ["upstage/SOLAR-10.7B-Instruct-v1.0", "NousResearch/Nous-Hermes-2-SOLAR-10.7B"], "model-index": [{"name": "franken-SOLAR-18B-v1.0", "results": [{"task": {"type": "text-generation", "name": "Text Generation"}, "d... | DavidAU/franken-SOLAR-18B-v1.0-Q6_K-GGUF | null | [
"gguf",
"mergekit",
"merge",
"solar",
"llama-cpp",
"gguf-my-repo",
"base_model:upstage/SOLAR-10.7B-Instruct-v1.0",
"base_model:NousResearch/Nous-Hermes-2-SOLAR-10.7B",
"license:apache-2.0",
"model-index",
"region:us"
] | null | 2024-04-13T08:02:27+00:00 | [] | [] | TAGS
#gguf #mergekit #merge #solar #llama-cpp #gguf-my-repo #base_model-upstage/SOLAR-10.7B-Instruct-v1.0 #base_model-NousResearch/Nous-Hermes-2-SOLAR-10.7B #license-apache-2.0 #model-index #region-us
|
# DavidAU/franken-SOLAR-18B-v1.0-Q6_K-GGUF
This model was converted to GGUF format from 'vicgalle/franken-SOLAR-18B-v1.0' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
CLI:
S... | [
"# DavidAU/franken-SOLAR-18B-v1.0-Q6_K-GGUF\nThis model was converted to GGUF format from 'vicgalle/franken-SOLAR-18B-v1.0' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
"## Use with URL\n\nInstall URL through brew.\n\n\nInvoke the URL server or the... | [
"TAGS\n#gguf #mergekit #merge #solar #llama-cpp #gguf-my-repo #base_model-upstage/SOLAR-10.7B-Instruct-v1.0 #base_model-NousResearch/Nous-Hermes-2-SOLAR-10.7B #license-apache-2.0 #model-index #region-us \n",
"# DavidAU/franken-SOLAR-18B-v1.0-Q6_K-GGUF\nThis model was converted to GGUF format from 'vicgalle/franke... | [
89,
85,
52
] | [
"TAGS\n#gguf #mergekit #merge #solar #llama-cpp #gguf-my-repo #base_model-upstage/SOLAR-10.7B-Instruct-v1.0 #base_model-NousResearch/Nous-Hermes-2-SOLAR-10.7B #license-apache-2.0 #model-index #region-us \n# DavidAU/franken-SOLAR-18B-v1.0-Q6_K-GGUF\nThis model was converted to GGUF format from 'vicgalle/franken-SOLA... |
text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | GladiusTn/mistral7b_ocr_to_xml_dataL | null | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"4-bit",
"region:us"
] | null | 2024-04-13T08:03:59+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #mistral #text-generation #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #4-bit #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Developed by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Model type: \n- Language(s)... | [
"TAGS\n#transformers #safetensors #mistral #text-generation #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #4-bit #region-us \n",
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has be... | [
48,
6,
4,
75,
23,
3,
5,
8,
9,
8,
34,
20,
4,
5,
5,
11,
13,
12,
3,
10,
6,
5,
6,
4,
5,
7,
49,
7,
7,
5,
5,
15,
7,
7,
8,
5
] | [
"TAGS\n#transformers #safetensors #mistral #text-generation #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #4-bit #region-us \n# Model Card for Model ID## Model Details### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the H... |
text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# amazon_helpfulness_classification_on_25M_full_pretrained
This model is a fine-tuned version of [ltuzova/amazon_domain_pretrained... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "ltuzova/amazon_domain_pretrained_model", "model-index": [{"name": "amazon_helpfulness_classification_on_25M_full_pretrained", "results": []}]} | ltuzova/amazon_helpfulness_classification_on_25M_full_pretrained | null | [
"transformers",
"tensorboard",
"safetensors",
"roberta",
"text-classification",
"generated_from_trainer",
"base_model:ltuzova/amazon_domain_pretrained_model",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-13T08:10:29+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #roberta #text-classification #generated_from_trainer #base_model-ltuzova/amazon_domain_pretrained_model #license-mit #autotrain_compatible #endpoints_compatible #region-us
| amazon\_helpfulness\_classification\_on\_25M\_full\_pretrained
==============================================================
This model is a fine-tuned version of ltuzova/amazon\_domain\_pretrained\_model on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.3257
* Accuracy: 0.8... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 16\n* eval\\_batch\\_size: 16\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.98) and epsilon=1e-06\n* lr\\_scheduler\\_type: linear\n* lr\\_scheduler\\_warmup\\_ratio:... | [
"TAGS\n#transformers #tensorboard #safetensors #roberta #text-classification #generated_from_trainer #base_model-ltuzova/amazon_domain_pretrained_model #license-mit #autotrain_compatible #endpoints_compatible #region-us \n",
"### Training hyperparameters\n\n\nThe following hyperparameters were used during trainin... | [
58,
119,
5,
44
] | [
"TAGS\n#transformers #tensorboard #safetensors #roberta #text-classification #generated_from_trainer #base_model-ltuzova/amazon_domain_pretrained_model #license-mit #autotrain_compatible #endpoints_compatible #region-us \n### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n... |
null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | Nabin1995/invoice_asian_99_new | null | [
"transformers",
"safetensors",
"vision-encoder-decoder",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-04-13T08:12:04+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #vision-encoder-decoder #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Developed by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Model type: \n- Language(s)... | [
"TAGS\n#transformers #safetensors #vision-encoder-decoder #arxiv-1910.09700 #endpoints_compatible #region-us \n",
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatical... | [
35,
6,
4,
75,
23,
3,
5,
8,
9,
8,
34,
20,
4,
5,
5,
11,
13,
12,
3,
10,
6,
5,
6,
4,
5,
7,
49,
7,
7,
5,
5,
15,
7,
7,
8,
5
] | [
"TAGS\n#transformers #safetensors #vision-encoder-decoder #arxiv-1910.09700 #endpoints_compatible #region-us \n# Model Card for Model ID## Model Details### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n-... |
null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | shtapm/whisper-large_0413_LoRA_all | null | [
"transformers",
"safetensors",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-04-13T08:12:22+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Developed by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Model type: \n- Language(s)... | [
"TAGS\n#transformers #safetensors #arxiv-1910.09700 #endpoints_compatible #region-us \n",
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Devel... | [
26,
6,
4,
75,
23,
3,
5,
8,
9,
8,
34,
20,
4,
5,
5,
11,
13,
12,
3,
10,
6,
5,
6,
4,
5,
7,
49,
7,
7,
5,
5,
15,
7,
7,
8,
5
] | [
"TAGS\n#transformers #safetensors #arxiv-1910.09700 #endpoints_compatible #region-us \n# Model Card for Model ID## Model Details### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Developed by: \n- Funde... |
null | null |
# DavidAU/solarized-13B-dpo-Q6_K-GGUF
This model was converted to GGUF format from [`vicgalle/solarized-13B-dpo`](https://huggingface.co/vicgalle/solarized-13B-dpo) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original model card](https://hu... | {"license": "apache-2.0", "tags": ["dpo", "13B", "merge", "llama-cpp", "gguf-my-repo"], "datasets": ["argilla/distilabel-intel-orca-dpo-pairs"], "base_model": ["vicgalle/SOLAR-13B-Instruct-v1.0"], "model-index": [{"name": "solarized-13B-dpo", "results": [{"task": {"type": "text-generation", "name": "Text Generation"}, ... | DavidAU/solarized-13B-dpo-Q6_K-GGUF | null | [
"gguf",
"dpo",
"13B",
"merge",
"llama-cpp",
"gguf-my-repo",
"dataset:argilla/distilabel-intel-orca-dpo-pairs",
"base_model:vicgalle/SOLAR-13B-Instruct-v1.0",
"license:apache-2.0",
"model-index",
"region:us"
] | null | 2024-04-13T08:12:23+00:00 | [] | [] | TAGS
#gguf #dpo #13B #merge #llama-cpp #gguf-my-repo #dataset-argilla/distilabel-intel-orca-dpo-pairs #base_model-vicgalle/SOLAR-13B-Instruct-v1.0 #license-apache-2.0 #model-index #region-us
|
# DavidAU/solarized-13B-dpo-Q6_K-GGUF
This model was converted to GGUF format from 'vicgalle/solarized-13B-dpo' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
CLI:
Server:
... | [
"# DavidAU/solarized-13B-dpo-Q6_K-GGUF\nThis model was converted to GGUF format from 'vicgalle/solarized-13B-dpo' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
"## Use with URL\n\nInstall URL through brew.\n\n\nInvoke the URL server or the CLI.\n\nC... | [
"TAGS\n#gguf #dpo #13B #merge #llama-cpp #gguf-my-repo #dataset-argilla/distilabel-intel-orca-dpo-pairs #base_model-vicgalle/SOLAR-13B-Instruct-v1.0 #license-apache-2.0 #model-index #region-us \n",
"# DavidAU/solarized-13B-dpo-Q6_K-GGUF\nThis model was converted to GGUF format from 'vicgalle/solarized-13B-dpo' us... | [
87,
77,
52
] | [
"TAGS\n#gguf #dpo #13B #merge #llama-cpp #gguf-my-repo #dataset-argilla/distilabel-intel-orca-dpo-pairs #base_model-vicgalle/SOLAR-13B-Instruct-v1.0 #license-apache-2.0 #model-index #region-us \n# DavidAU/solarized-13B-dpo-Q6_K-GGUF\nThis model was converted to GGUF format from 'vicgalle/solarized-13B-dpo' using UR... |
reinforcement-learning | null |
# **Q-Learning** Agent playing1 **FrozenLake-v1**
This is a trained model of a **Q-Learning** agent playing **FrozenLake-v1** .
## Usage
```python
model = load_from_hub(repo_id="arvin-zaheri/q-FrozenLake-v1-4x4-noSlippery", filename="q-learning.pkl")
# Don't forget to check if you need to add additiona... | {"tags": ["FrozenLake-v1-4x4-no_slippery", "q-learning", "reinforcement-learning", "custom-implementation"], "model-index": [{"name": "q-FrozenLake-v1-4x4-noSlippery", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "FrozenLake-v1-4x4-no_slippery", "type": ... | arvin-zaheri/q-FrozenLake-v1-4x4-noSlippery | null | [
"FrozenLake-v1-4x4-no_slippery",
"q-learning",
"reinforcement-learning",
"custom-implementation",
"model-index",
"region:us"
] | null | 2024-04-13T08:15:37+00:00 | [] | [] | TAGS
#FrozenLake-v1-4x4-no_slippery #q-learning #reinforcement-learning #custom-implementation #model-index #region-us
|
# Q-Learning Agent playing1 FrozenLake-v1
This is a trained model of a Q-Learning agent playing FrozenLake-v1 .
## Usage
| [
"# Q-Learning Agent playing1 FrozenLake-v1\n This is a trained model of a Q-Learning agent playing FrozenLake-v1 .\n\n ## Usage"
] | [
"TAGS\n#FrozenLake-v1-4x4-no_slippery #q-learning #reinforcement-learning #custom-implementation #model-index #region-us \n",
"# Q-Learning Agent playing1 FrozenLake-v1\n This is a trained model of a Q-Learning agent playing FrozenLake-v1 .\n\n ## Usage"
] | [
35,
33
] | [
"TAGS\n#FrozenLake-v1-4x4-no_slippery #q-learning #reinforcement-learning #custom-implementation #model-index #region-us \n# Q-Learning Agent playing1 FrozenLake-v1\n This is a trained model of a Q-Learning agent playing FrozenLake-v1 .\n\n ## Usage"
] |
null | peft |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
- **Developed by:** [More Information Needed]
- **Funded by [optional]:** [More Information Needed]
- **Shared by [optional]:** ... | {"library_name": "peft", "base_model": "google-t5/t5-small"} | dsolomon/t5-small-pubmed-LoRA-r4-i1024-o128 | null | [
"peft",
"safetensors",
"arxiv:1910.09700",
"base_model:google-t5/t5-small",
"region:us"
] | null | 2024-04-13T08:15:50+00:00 | [
"1910.09700"
] | [] | TAGS
#peft #safetensors #arxiv-1910.09700 #base_model-google-t5/t5-small #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License:
- Finetuned from model [optional]:
### Model Sources [optional]
- Repository:
- Paper [optional]:
- Demo [optional]:
#... | [
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\n\n\n- Developed by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Model type: \n- Language(s) (NLP): \n- License: \n- Finetuned from model [optional]:",
"### Model Sources [optional]\n\n\n\n- Repository: \n- Paper [option... | [
"TAGS\n#peft #safetensors #arxiv-1910.09700 #base_model-google-t5/t5-small #region-us \n",
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\n\n\n- Developed by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Model type: \n- Language(s) (NLP): \n- License: \n- Finetuned fr... | [
36,
6,
4,
50,
23,
3,
5,
8,
9,
8,
34,
20,
4,
5,
5,
11,
13,
12,
3,
10,
6,
5,
6,
4,
5,
7,
49,
7,
7,
5,
5,
15,
7,
7,
8,
5,
13
] | [
"TAGS\n#peft #safetensors #arxiv-1910.09700 #base_model-google-t5/t5-small #region-us \n# Model Card for Model ID## Model Details### Model Description\n\n\n\n\n\n- Developed by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Model type: \n- Language(s) (NLP): \n- License: \n- Finetuned from model [optional... |
token-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# xlm-roberta-base-finetuned-panx-de-fr
This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-robert... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["f1"], "base_model": "xlm-roberta-base", "model-index": [{"name": "xlm-roberta-base-finetuned-panx-de-fr", "results": []}]} | SORABE/xlm-roberta-base-finetuned-panx-de-fr | null | [
"transformers",
"safetensors",
"xlm-roberta",
"token-classification",
"generated_from_trainer",
"base_model:xlm-roberta-base",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-13T08:16:19+00:00 | [] | [] | TAGS
#transformers #safetensors #xlm-roberta #token-classification #generated_from_trainer #base_model-xlm-roberta-base #license-mit #autotrain_compatible #endpoints_compatible #region-us
| xlm-roberta-base-finetuned-panx-de-fr
=====================================
This model is a fine-tuned version of xlm-roberta-base on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1639
* F1: 0.8591
Model description
-----------------
More information needed
Intended uses... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 24\n* eval\\_batch\\_size: 24\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 3",
"### Traini... | [
"TAGS\n#transformers #safetensors #xlm-roberta #token-classification #generated_from_trainer #base_model-xlm-roberta-base #license-mit #autotrain_compatible #endpoints_compatible #region-us \n",
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-... | [
51,
101,
5,
44
] | [
"TAGS\n#transformers #safetensors #xlm-roberta #token-classification #generated_from_trainer #base_model-xlm-roberta-base #license-mit #autotrain_compatible #endpoints_compatible #region-us \n### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* ... |
text-to-image | diffusers |
## SDXL-8-step
<img src="" alt="Generated on Image Pipeline" style="border-radius: 10px;">
**This checkpoint model is uploaded on [imagepipeline.io](https://imagepipeline.io/)**
Model details - Lightning Model 8 step
[](https... | {"license": "creativeml-openrail-m", "tags": ["imagepipeline", "imagepipeline.io", "text-to-image", "ultra-realistic"], "pinned": false, "pipeline_tag": "text-to-image"} | imagepipeline/SDXL-8-step | null | [
"diffusers",
"imagepipeline",
"imagepipeline.io",
"text-to-image",
"ultra-realistic",
"license:creativeml-openrail-m",
"endpoints_compatible",
"diffusers:StableDiffusionXLPipeline",
"region:us"
] | null | 2024-04-13T08:17:41+00:00 | [] | [] | TAGS
#diffusers #imagepipeline #imagepipeline.io #text-to-image #ultra-realistic #license-creativeml-openrail-m #endpoints_compatible #diffusers-StableDiffusionXLPipeline #region-us
| SDXL-8-step
-----------
![Generated on Image Pipeline]()
This checkpoint model is uploaded on URL
Model details - Lightning Model 8 step
![Try this model](URL
How to try this model ?
-----------------------
You can try using it locally or send an API call to test the output quality.
Get your 'API\_KEY' from... | [
"### API Reference",
"#### Generate Image\n\n\n\n\n\n\n---\n\n\nlicense: creativeml-openrail-m\ntags:\n\n\n* imagepipeline\n* URL\n* text-to-image\n* ultra-realistic\npinned: false\npipeline\\_tag: text-to-image\n\n\n\n\n---",
"### Feedback\n\n\nIf you have any feedback, please reach out to us at hello@URL",
... | [
"TAGS\n#diffusers #imagepipeline #imagepipeline.io #text-to-image #ultra-realistic #license-creativeml-openrail-m #endpoints_compatible #diffusers-StableDiffusionXLPipeline #region-us \n",
"### API Reference",
"#### Generate Image\n\n\n\n\n\n\n---\n\n\nlicense: creativeml-openrail-m\ntags:\n\n\n* imagepipeline\... | [
55,
5,
53,
20,
29
] | [
"TAGS\n#diffusers #imagepipeline #imagepipeline.io #text-to-image #ultra-realistic #license-creativeml-openrail-m #endpoints_compatible #diffusers-StableDiffusionXLPipeline #region-us \n### API Reference#### Generate Image\n\n\n\n\n\n\n---\n\n\nlicense: creativeml-openrail-m\ntags:\n\n\n* imagepipeline\n* URL\n* te... |
image-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# Psoriasis-Project-Aug-M2-beit-base-patch16-224-pt22k-ft22k
This model is a fine-tuned version of [microsoft/beit-base-patch16-22... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "microsoft/beit-base-patch16-224-pt22k-ft22k", "model-index": [{"name": "Psoriasis-Project-Aug-M2-beit-base-patch16-224-pt22k-ft22k", "results": []}]} | ahmedesmail16/Psoriasis-Project-Aug-M2-beit-base-patch16-224-pt22k-ft22k | null | [
"transformers",
"tensorboard",
"safetensors",
"beit",
"image-classification",
"generated_from_trainer",
"base_model:microsoft/beit-base-patch16-224-pt22k-ft22k",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-13T08:20:43+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #beit #image-classification #generated_from_trainer #base_model-microsoft/beit-base-patch16-224-pt22k-ft22k #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
| Psoriasis-Project-Aug-M2-beit-base-patch16-224-pt22k-ft22k
==========================================================
This model is a fine-tuned version of microsoft/beit-base-patch16-224-pt22k-ft22k on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0042
* Accuracy: 1.0
Mod... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 16\n* eval\\_batch\\_size: 16\n* seed: 42\n* gradient\\_accumulation\\_steps: 4\n* total\\_train\\_batch\\_size: 64\n* optimizer: Adam with betas=(0.9,0.999) and epsilon... | [
"TAGS\n#transformers #tensorboard #safetensors #beit #image-classification #generated_from_trainer #base_model-microsoft/beit-base-patch16-224-pt22k-ft22k #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us \n",
"### Training hyperparameters\n\n\nThe following hyperparameters were used duri... | [
67,
142,
5,
40
] | [
"TAGS\n#transformers #tensorboard #safetensors #beit #image-classification #generated_from_trainer #base_model-microsoft/beit-base-patch16-224-pt22k-ft22k #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us \n### Training hyperparameters\n\n\nThe following hyperparameters were used during tra... |
automatic-speech-recognition | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# Whisper Medium Basque
This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium... | {"language": ["eu"], "license": "apache-2.0", "tags": ["whisper-event", "generated_from_trainer"], "datasets": ["mozilla-foundation/common_voice_16_1"], "metrics": ["wer"], "base_model": "openai/whisper-medium", "model-index": [{"name": "Whisper Medium Basque", "results": [{"task": {"type": "automatic-speech-recognitio... | zuazo/whisper-medium-eu-cv16_1 | null | [
"transformers",
"tensorboard",
"safetensors",
"whisper",
"automatic-speech-recognition",
"whisper-event",
"generated_from_trainer",
"eu",
"dataset:mozilla-foundation/common_voice_16_1",
"base_model:openai/whisper-medium",
"license:apache-2.0",
"model-index",
"endpoints_compatible",
"region... | null | 2024-04-13T08:23:29+00:00 | [] | [
"eu"
] | TAGS
#transformers #tensorboard #safetensors #whisper #automatic-speech-recognition #whisper-event #generated_from_trainer #eu #dataset-mozilla-foundation/common_voice_16_1 #base_model-openai/whisper-medium #license-apache-2.0 #model-index #endpoints_compatible #region-us
| Whisper Medium Basque
=====================
This model is a fine-tuned version of openai/whisper-medium on the mozilla-foundation/common\_voice\_16\_1 eu dataset.
It achieves the following results on the evaluation set:
* Loss: 0.4303
* Wer: 9.2006
Model description
-----------------
More information needed
I... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 1e-05\n* train\\_batch\\_size: 64\n* eval\\_batch\\_size: 32\n* seed: 42\n* gradient\\_accumulation\\_steps: 4\n* total\\_train\\_batch\\_size: 256\n* optimizer: Adam with betas=(0.9,0.999) and epsilo... | [
"TAGS\n#transformers #tensorboard #safetensors #whisper #automatic-speech-recognition #whisper-event #generated_from_trainer #eu #dataset-mozilla-foundation/common_voice_16_1 #base_model-openai/whisper-medium #license-apache-2.0 #model-index #endpoints_compatible #region-us \n",
"### Training hyperparameters\n\n\... | [
79,
150,
5,
44
] | [
"TAGS\n#transformers #tensorboard #safetensors #whisper #automatic-speech-recognition #whisper-event #generated_from_trainer #eu #dataset-mozilla-foundation/common_voice_16_1 #base_model-openai/whisper-medium #license-apache-2.0 #model-index #endpoints_compatible #region-us \n### Training hyperparameters\n\n\nThe f... |
automatic-speech-recognition | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# Whisper Large Basque
This model is a fine-tuned version of [openai/whisper-large](https://huggingface.co/openai/whisper-large) o... | {"language": ["eu"], "license": "apache-2.0", "tags": ["whisper-event", "generated_from_trainer"], "datasets": ["mozilla-foundation/common_voice_16_1"], "metrics": ["wer"], "base_model": "openai/whisper-large", "model-index": [{"name": "Whisper Large Basque", "results": [{"task": {"type": "automatic-speech-recognition"... | zuazo/whisper-large-eu-cv16_1 | null | [
"transformers",
"tensorboard",
"safetensors",
"whisper",
"automatic-speech-recognition",
"whisper-event",
"generated_from_trainer",
"eu",
"dataset:mozilla-foundation/common_voice_16_1",
"base_model:openai/whisper-large",
"license:apache-2.0",
"model-index",
"endpoints_compatible",
"region:... | null | 2024-04-13T08:23:37+00:00 | [] | [
"eu"
] | TAGS
#transformers #tensorboard #safetensors #whisper #automatic-speech-recognition #whisper-event #generated_from_trainer #eu #dataset-mozilla-foundation/common_voice_16_1 #base_model-openai/whisper-large #license-apache-2.0 #model-index #endpoints_compatible #region-us
| Whisper Large Basque
====================
This model is a fine-tuned version of openai/whisper-large on the mozilla-foundation/common\_voice\_16\_1 eu dataset.
It achieves the following results on the evaluation set:
* Loss: 0.4111
* Wer: 8.1444
Model description
-----------------
More information needed
Inte... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 1e-05\n* train\\_batch\\_size: 32\n* eval\\_batch\\_size: 16\n* seed: 42\n* gradient\\_accumulation\\_steps: 8\n* total\\_train\\_batch\\_size: 256\n* optimizer: Adam with betas=(0.9,0.999) and epsilo... | [
"TAGS\n#transformers #tensorboard #safetensors #whisper #automatic-speech-recognition #whisper-event #generated_from_trainer #eu #dataset-mozilla-foundation/common_voice_16_1 #base_model-openai/whisper-large #license-apache-2.0 #model-index #endpoints_compatible #region-us \n",
"### Training hyperparameters\n\n\n... | [
79,
150,
5,
44
] | [
"TAGS\n#transformers #tensorboard #safetensors #whisper #automatic-speech-recognition #whisper-event #generated_from_trainer #eu #dataset-mozilla-foundation/common_voice_16_1 #base_model-openai/whisper-large #license-apache-2.0 #model-index #endpoints_compatible #region-us \n### Training hyperparameters\n\n\nThe fo... |
automatic-speech-recognition | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# Whisper Large-V2 Basque
This model is a fine-tuned version of [openai/whisper-large-v2](https://huggingface.co/openai/whisper-la... | {"language": ["eu"], "license": "apache-2.0", "tags": ["whisper-event", "generated_from_trainer"], "datasets": ["mozilla-foundation/common_voice_16_1"], "metrics": ["wer"], "base_model": "openai/whisper-large-v2", "model-index": [{"name": "Whisper Large-V2 Basque", "results": [{"task": {"type": "automatic-speech-recogn... | zuazo/whisper-large-v2-eu-cv16_1 | null | [
"transformers",
"tensorboard",
"safetensors",
"whisper",
"automatic-speech-recognition",
"whisper-event",
"generated_from_trainer",
"eu",
"dataset:mozilla-foundation/common_voice_16_1",
"base_model:openai/whisper-large-v2",
"license:apache-2.0",
"model-index",
"endpoints_compatible",
"regi... | null | 2024-04-13T08:23:38+00:00 | [] | [
"eu"
] | TAGS
#transformers #tensorboard #safetensors #whisper #automatic-speech-recognition #whisper-event #generated_from_trainer #eu #dataset-mozilla-foundation/common_voice_16_1 #base_model-openai/whisper-large-v2 #license-apache-2.0 #model-index #endpoints_compatible #region-us
| Whisper Large-V2 Basque
=======================
This model is a fine-tuned version of openai/whisper-large-v2 on the mozilla-foundation/common\_voice\_16\_1 eu dataset.
It achieves the following results on the evaluation set:
* Loss: 0.4206
* Wer: 7.7204
Model description
-----------------
More information need... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 1e-05\n* train\\_batch\\_size: 32\n* eval\\_batch\\_size: 16\n* seed: 42\n* gradient\\_accumulation\\_steps: 8\n* total\\_train\\_batch\\_size: 256\n* optimizer: Adam with betas=(0.9,0.999) and epsilo... | [
"TAGS\n#transformers #tensorboard #safetensors #whisper #automatic-speech-recognition #whisper-event #generated_from_trainer #eu #dataset-mozilla-foundation/common_voice_16_1 #base_model-openai/whisper-large-v2 #license-apache-2.0 #model-index #endpoints_compatible #region-us \n",
"### Training hyperparameters\n\... | [
82,
150,
5,
44
] | [
"TAGS\n#transformers #tensorboard #safetensors #whisper #automatic-speech-recognition #whisper-event #generated_from_trainer #eu #dataset-mozilla-foundation/common_voice_16_1 #base_model-openai/whisper-large-v2 #license-apache-2.0 #model-index #endpoints_compatible #region-us \n### Training hyperparameters\n\n\nThe... |
null | peft |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
- **Developed by:** [More Information Needed]
- **Funded by [optional]:** [More Information Needed]
- **Shared by [optional]:** ... | {"library_name": "peft", "base_model": "google/gemma-2b-it"} | baltop/gemma-sum | null | [
"peft",
"safetensors",
"arxiv:1910.09700",
"base_model:google/gemma-2b-it",
"region:us"
] | null | 2024-04-13T08:24:55+00:00 | [
"1910.09700"
] | [] | TAGS
#peft #safetensors #arxiv-1910.09700 #base_model-google/gemma-2b-it #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License:
- Finetuned from model [optional]:
### Model Sources [optional]
- Repository:
- Paper [optional]:
- Demo [optional]:
#... | [
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\n\n\n- Developed by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Model type: \n- Language(s) (NLP): \n- License: \n- Finetuned from model [optional]:",
"### Model Sources [optional]\n\n\n\n- Repository: \n- Paper [option... | [
"TAGS\n#peft #safetensors #arxiv-1910.09700 #base_model-google/gemma-2b-it #region-us \n",
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\n\n\n- Developed by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Model type: \n- Language(s) (NLP): \n- License: \n- Finetuned fr... | [
35,
6,
4,
50,
23,
3,
5,
8,
9,
8,
34,
20,
4,
5,
5,
11,
13,
12,
3,
10,
6,
5,
6,
4,
5,
7,
49,
7,
7,
5,
5,
15,
7,
7,
8,
5,
13
] | [
"TAGS\n#peft #safetensors #arxiv-1910.09700 #base_model-google/gemma-2b-it #region-us \n# Model Card for Model ID## Model Details### Model Description\n\n\n\n\n\n- Developed by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Model type: \n- Language(s) (NLP): \n- License: \n- Finetuned from model [optional... |
feature-extraction | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# finetuned_bge_ver9
This model is a fine-tuned version of [BAAI/bge-m3](https://huggingface.co/BAAI/bge-m3) on an unknown dataset... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "BAAI/bge-m3", "model-index": [{"name": "finetuned_bge_ver9", "results": []}]} | comet24082002/finetuned_bge_ver9 | null | [
"transformers",
"tensorboard",
"safetensors",
"xlm-roberta",
"feature-extraction",
"generated_from_trainer",
"base_model:BAAI/bge-m3",
"license:mit",
"endpoints_compatible",
"region:us"
] | null | 2024-04-13T08:25:35+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #xlm-roberta #feature-extraction #generated_from_trainer #base_model-BAAI/bge-m3 #license-mit #endpoints_compatible #region-us
|
# finetuned_bge_ver9
This model is a fine-tuned version of BAAI/bge-m3 on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The fo... | [
"# finetuned_bge_ver9\n\nThis model is a fine-tuned version of BAAI/bge-m3 on an unknown dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information needed",
"## Training procedure",
"### Tr... | [
"TAGS\n#transformers #tensorboard #safetensors #xlm-roberta #feature-extraction #generated_from_trainer #base_model-BAAI/bge-m3 #license-mit #endpoints_compatible #region-us \n",
"# finetuned_bge_ver9\n\nThis model is a fine-tuned version of BAAI/bge-m3 on an unknown dataset.",
"## Model description\n\nMore inf... | [
50,
33,
7,
9,
9,
4,
113,
5,
44
] | [
"TAGS\n#transformers #tensorboard #safetensors #xlm-roberta #feature-extraction #generated_from_trainer #base_model-BAAI/bge-m3 #license-mit #endpoints_compatible #region-us \n# finetuned_bge_ver9\n\nThis model is a fine-tuned version of BAAI/bge-m3 on an unknown dataset.## Model description\n\nMore information nee... |
null | null |
# DavidAU/SOLAR-13B-Instruct-v1.0-Q6_K-GGUF
This model was converted to GGUF format from [`vicgalle/SOLAR-13B-Instruct-v1.0`](https://huggingface.co/vicgalle/SOLAR-13B-Instruct-v1.0) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original mode... | {"license": "apache-2.0", "tags": ["mergekit", "merge", "solar", "llama-cpp", "gguf-my-repo"], "base_model": ["upstage/SOLAR-10.7B-Instruct-v1.0"], "model-index": [{"name": "SOLAR-13B-Instruct-v1.0", "results": [{"task": {"type": "text-generation", "name": "Text Generation"}, "dataset": {"name": "AI2 Reasoning Challeng... | DavidAU/SOLAR-13B-Instruct-v1.0-Q6_K-GGUF | null | [
"gguf",
"mergekit",
"merge",
"solar",
"llama-cpp",
"gguf-my-repo",
"base_model:upstage/SOLAR-10.7B-Instruct-v1.0",
"license:apache-2.0",
"model-index",
"region:us"
] | null | 2024-04-13T08:28:06+00:00 | [] | [] | TAGS
#gguf #mergekit #merge #solar #llama-cpp #gguf-my-repo #base_model-upstage/SOLAR-10.7B-Instruct-v1.0 #license-apache-2.0 #model-index #region-us
|
# DavidAU/SOLAR-13B-Instruct-v1.0-Q6_K-GGUF
This model was converted to GGUF format from 'vicgalle/SOLAR-13B-Instruct-v1.0' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
CLI:
... | [
"# DavidAU/SOLAR-13B-Instruct-v1.0-Q6_K-GGUF\nThis model was converted to GGUF format from 'vicgalle/SOLAR-13B-Instruct-v1.0' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
"## Use with URL\n\nInstall URL through brew.\n\n\nInvoke the URL server or t... | [
"TAGS\n#gguf #mergekit #merge #solar #llama-cpp #gguf-my-repo #base_model-upstage/SOLAR-10.7B-Instruct-v1.0 #license-apache-2.0 #model-index #region-us \n",
"# DavidAU/SOLAR-13B-Instruct-v1.0-Q6_K-GGUF\nThis model was converted to GGUF format from 'vicgalle/SOLAR-13B-Instruct-v1.0' using URL via the URL's GGUF-my... | [
65,
85,
52
] | [
"TAGS\n#gguf #mergekit #merge #solar #llama-cpp #gguf-my-repo #base_model-upstage/SOLAR-10.7B-Instruct-v1.0 #license-apache-2.0 #model-index #region-us \n# DavidAU/SOLAR-13B-Instruct-v1.0-Q6_K-GGUF\nThis model was converted to GGUF format from 'vicgalle/SOLAR-13B-Instruct-v1.0' using URL via the URL's GGUF-my-repo ... |
null | transformers |
# DavidAU/ConfigurableBeagle-11B-Q6_K-GGUF
This model was converted to GGUF format from [`vicgalle/ConfigurableBeagle-11B`](https://huggingface.co/vicgalle/ConfigurableBeagle-11B) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original model c... | {"license": "apache-2.0", "library_name": "transformers", "tags": ["llama-cpp", "gguf-my-repo"], "datasets": ["vicgalle/configurable-system-prompt-multitask"], "model-index": [{"name": "ConfigurableBeagle-11B", "results": [{"task": {"type": "text-generation", "name": "Text Generation"}, "dataset": {"name": "AI2 Reasoni... | DavidAU/ConfigurableBeagle-11B-Q6_K-GGUF | null | [
"transformers",
"gguf",
"llama-cpp",
"gguf-my-repo",
"dataset:vicgalle/configurable-system-prompt-multitask",
"license:apache-2.0",
"model-index",
"endpoints_compatible",
"region:us"
] | null | 2024-04-13T08:29:33+00:00 | [] | [] | TAGS
#transformers #gguf #llama-cpp #gguf-my-repo #dataset-vicgalle/configurable-system-prompt-multitask #license-apache-2.0 #model-index #endpoints_compatible #region-us
|
# DavidAU/ConfigurableBeagle-11B-Q6_K-GGUF
This model was converted to GGUF format from 'vicgalle/ConfigurableBeagle-11B' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
CLI:
S... | [
"# DavidAU/ConfigurableBeagle-11B-Q6_K-GGUF\nThis model was converted to GGUF format from 'vicgalle/ConfigurableBeagle-11B' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
"## Use with URL\n\nInstall URL through brew.\n\n\nInvoke the URL server or the... | [
"TAGS\n#transformers #gguf #llama-cpp #gguf-my-repo #dataset-vicgalle/configurable-system-prompt-multitask #license-apache-2.0 #model-index #endpoints_compatible #region-us \n",
"# DavidAU/ConfigurableBeagle-11B-Q6_K-GGUF\nThis model was converted to GGUF format from 'vicgalle/ConfigurableBeagle-11B' using URL vi... | [
63,
81,
52
] | [
"TAGS\n#transformers #gguf #llama-cpp #gguf-my-repo #dataset-vicgalle/configurable-system-prompt-multitask #license-apache-2.0 #model-index #endpoints_compatible #region-us \n# DavidAU/ConfigurableBeagle-11B-Q6_K-GGUF\nThis model was converted to GGUF format from 'vicgalle/ConfigurableBeagle-11B' using URL via the ... |
text2text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | KhimNguyen/t2sql | null | [
"transformers",
"safetensors",
"t5",
"text2text-generation",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-13T08:30:19+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #t5 #text2text-generation #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Developed by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Model type: \n- Language(s)... | [
"TAGS\n#transformers #safetensors #t5 #text2text-generation #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been push... | [
46,
6,
4,
75,
23,
3,
5,
8,
9,
8,
34,
20,
4,
5,
5,
11,
13,
12,
3,
10,
6,
5,
6,
4,
5,
7,
49,
7,
7,
5,
5,
15,
7,
7,
8,
5
] | [
"TAGS\n#transformers #safetensors #t5 #text2text-generation #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n# Model Card for Model ID## Model Details### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. Thi... |
null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/ibivibiv/bubo-bubo-13b
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a... | {"language": ["en"], "license": "llama2", "library_name": "transformers", "tags": ["summary"], "base_model": "ibivibiv/bubo-bubo-13b", "quantized_by": "mradermacher"} | mradermacher/bubo-bubo-13b-GGUF | null | [
"transformers",
"gguf",
"summary",
"en",
"base_model:ibivibiv/bubo-bubo-13b",
"license:llama2",
"endpoints_compatible",
"region:us"
] | null | 2024-04-13T08:30:51+00:00 | [] | [
"en"
] | TAGS
#transformers #gguf #summary #en #base_model-ibivibiv/bubo-bubo-13b #license-llama2 #endpoints_compatible #region-us
| About
-----
static quants of URL
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
Usage
-----
If you are unsure how to use GGUF file... | [] | [
"TAGS\n#transformers #gguf #summary #en #base_model-ibivibiv/bubo-bubo-13b #license-llama2 #endpoints_compatible #region-us \n"
] | [
44
] | [
"TAGS\n#transformers #gguf #summary #en #base_model-ibivibiv/bubo-bubo-13b #license-llama2 #endpoints_compatible #region-us \n"
] |
null | transformers |
# DavidAU/ConfigurableSOLAR-10.7B-Q6_K-GGUF
This model was converted to GGUF format from [`vicgalle/ConfigurableSOLAR-10.7B`](https://huggingface.co/vicgalle/ConfigurableSOLAR-10.7B) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original mode... | {"license": "apache-2.0", "library_name": "transformers", "tags": ["llama-cpp", "gguf-my-repo"], "datasets": ["vicgalle/configurable-system-prompt-multitask"]} | DavidAU/ConfigurableSOLAR-10.7B-Q6_K-GGUF | null | [
"transformers",
"gguf",
"llama-cpp",
"gguf-my-repo",
"dataset:vicgalle/configurable-system-prompt-multitask",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2024-04-13T08:30:58+00:00 | [] | [] | TAGS
#transformers #gguf #llama-cpp #gguf-my-repo #dataset-vicgalle/configurable-system-prompt-multitask #license-apache-2.0 #endpoints_compatible #region-us
|
# DavidAU/ConfigurableSOLAR-10.7B-Q6_K-GGUF
This model was converted to GGUF format from 'vicgalle/ConfigurableSOLAR-10.7B' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
CLI:
... | [
"# DavidAU/ConfigurableSOLAR-10.7B-Q6_K-GGUF\nThis model was converted to GGUF format from 'vicgalle/ConfigurableSOLAR-10.7B' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
"## Use with URL\n\nInstall URL through brew.\n\n\nInvoke the URL server or t... | [
"TAGS\n#transformers #gguf #llama-cpp #gguf-my-repo #dataset-vicgalle/configurable-system-prompt-multitask #license-apache-2.0 #endpoints_compatible #region-us \n",
"# DavidAU/ConfigurableSOLAR-10.7B-Q6_K-GGUF\nThis model was converted to GGUF format from 'vicgalle/ConfigurableSOLAR-10.7B' using URL via the URL's... | [
59,
83,
52
] | [
"TAGS\n#transformers #gguf #llama-cpp #gguf-my-repo #dataset-vicgalle/configurable-system-prompt-multitask #license-apache-2.0 #endpoints_compatible #region-us \n# DavidAU/ConfigurableSOLAR-10.7B-Q6_K-GGUF\nThis model was converted to GGUF format from 'vicgalle/ConfigurableSOLAR-10.7B' using URL via the URL's GGUF-... |
text-generation | transformers |
## ELYZA-japanese-Llama-2-7b
### Model Description
**ELYZA-japanese-Llama-2-7b** は、 Llama2をベースとして日本語能力を拡張するために追加事前学習を行ったモデルです。
詳細は [Blog記事](https://note.com/elyza/n/na405acaca130) を参照してください。
### Usage
```python
import torch
from transformers import AutoModelForCaus... | {"language": ["ja", "en"], "license": "llama2"} | furnqse/elyza-fork2 | null | [
"transformers",
"pytorch",
"llama",
"text-generation",
"ja",
"en",
"arxiv:2307.09288",
"license:llama2",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-13T08:34:04+00:00 | [
"2307.09288"
] | [
"ja",
"en"
] | TAGS
#transformers #pytorch #llama #text-generation #ja #en #arxiv-2307.09288 #license-llama2 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| ELYZA-japanese-Llama-2-7b
-------------------------
!ELYZA-Japanese-Llama2-image
### Model Description
ELYZA-japanese-Llama-2-7b は、 Llama2をベースとして日本語能力を拡張するために追加事前学習を行ったモデルです。
詳細は Blog記事 を参照してください。
### Usage
### ELYZA-japanese-Llama-2-7b Models
### Developers
以下アルファベット順
* Akira Sasaki
* Masato Hirakawa
... | [
"### Model Description\n\n\nELYZA-japanese-Llama-2-7b は、 Llama2をベースとして日本語能力を拡張するために追加事前学習を行ったモデルです。\n詳細は Blog記事 を参照してください。",
"### Usage",
"### ELYZA-japanese-Llama-2-7b Models",
"### Developers\n\n\n以下アルファベット順\n\n\n* Akira Sasaki\n* Masato Hirakawa\n* Shintaro Horie\n* Tomoaki Nakamura",
"### Licence\n\n\nL... | [
"TAGS\n#transformers #pytorch #llama #text-generation #ja #en #arxiv-2307.09288 #license-llama2 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
"### Model Description\n\n\nELYZA-japanese-Llama-2-7b は、 Llama2をベースとして日本語能力を拡張するために追加事前学習を行ったモデルです。\n詳細は Blog記事 を参照してください。",
"###... | [
56,
74,
4,
16,
34,
30,
7
] | [
"TAGS\n#transformers #pytorch #llama #text-generation #ja #en #arxiv-2307.09288 #license-llama2 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n### Model Description\n\n\nELYZA-japanese-Llama-2-7b は、 Llama2をベースとして日本語能力を拡張するために追加事前学習を行ったモデルです。\n詳細は Blog記事 を参照してください。### Usage### EL... |
token-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# xlm-roberta-base-finetuned-panx-fr
This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-b... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["f1"], "base_model": "xlm-roberta-base", "model-index": [{"name": "xlm-roberta-base-finetuned-panx-fr", "results": []}]} | SORABE/xlm-roberta-base-finetuned-panx-fr | null | [
"transformers",
"safetensors",
"xlm-roberta",
"token-classification",
"generated_from_trainer",
"base_model:xlm-roberta-base",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-13T08:34:24+00:00 | [] | [] | TAGS
#transformers #safetensors #xlm-roberta #token-classification #generated_from_trainer #base_model-xlm-roberta-base #license-mit #autotrain_compatible #endpoints_compatible #region-us
| xlm-roberta-base-finetuned-panx-fr
==================================
This model is a fine-tuned version of xlm-roberta-base on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.2750
* F1: 0.8495
Model description
-----------------
More information needed
Intended uses & l... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 24\n* eval\\_batch\\_size: 24\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 3",
"### Traini... | [
"TAGS\n#transformers #safetensors #xlm-roberta #token-classification #generated_from_trainer #base_model-xlm-roberta-base #license-mit #autotrain_compatible #endpoints_compatible #region-us \n",
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-... | [
51,
101,
5,
44
] | [
"TAGS\n#transformers #safetensors #xlm-roberta #token-classification #generated_from_trainer #base_model-xlm-roberta-base #license-mit #autotrain_compatible #endpoints_compatible #region-us \n### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* ... |
text-generation | transformers | # merge
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* [NousResearch/Hermes-2-Pro-Mistral-7B](https... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["NousResearch/Hermes-2-Pro-Mistral-7B", "WizardLM/WizardMath-7B-V1.1"]} | zhou20120904/mergekit-slerp-qljvkvz | null | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"mergekit",
"merge",
"conversational",
"base_model:NousResearch/Hermes-2-Pro-Mistral-7B",
"base_model:WizardLM/WizardMath-7B-V1.1",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-13T08:35:41+00:00 | [] | [] | TAGS
#transformers #safetensors #mistral #text-generation #mergekit #merge #conversational #base_model-NousResearch/Hermes-2-Pro-Mistral-7B #base_model-WizardLM/WizardMath-7B-V1.1 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| # merge
This is a merge of pre-trained language models created using mergekit.
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* NousResearch/Hermes-2-Pro-Mistral-7B
* WizardLM/WizardMath-7B-V1.1
### Configura... | [
"# merge\n\nThis is a merge of pre-trained language models created using mergekit.",
"## Merge Details",
"### Merge Method\n\nThis model was merged using the SLERP merge method.",
"### Models Merged\n\nThe following models were included in the merge:\n* NousResearch/Hermes-2-Pro-Mistral-7B\n* WizardLM/WizardM... | [
"TAGS\n#transformers #safetensors #mistral #text-generation #mergekit #merge #conversational #base_model-NousResearch/Hermes-2-Pro-Mistral-7B #base_model-WizardLM/WizardMath-7B-V1.1 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
"# merge\n\nThis is a merge of pre-trained la... | [
83,
17,
4,
17,
47,
16
] | [
"TAGS\n#transformers #safetensors #mistral #text-generation #mergekit #merge #conversational #base_model-NousResearch/Hermes-2-Pro-Mistral-7B #base_model-WizardLM/WizardMath-7B-V1.1 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n# merge\n\nThis is a merge of pre-trained language... |
text-to-image | diffusers |
# AutoTrain SDXL LoRA DreamBooth - coinatur/shiroi-sakura-style
<Gallery />
## Model description
These are coinatur/shiroi-sakura-style LoRA adaption weights for stablediffusionapi/animagine-xl-31.
The weights were trained using [DreamBooth](https://dreambooth.github.io/).
LoRA for the text encoder was enabl... | {"license": "openrail++", "tags": ["autotrain", "stable-diffusion-xl", "stable-diffusion-xl-diffusers", "text-to-image", "diffusers", "lora", "template:sd-lora"], "base_model": "cagliostrolab/animagine-xl-3.1", "instance_prompt": "shiroi_sakura_style"} | coinatur/shiroi-sakura-style | null | [
"diffusers",
"autotrain",
"stable-diffusion-xl",
"stable-diffusion-xl-diffusers",
"text-to-image",
"lora",
"template:sd-lora",
"base_model:cagliostrolab/animagine-xl-3.1",
"license:openrail++",
"region:us"
] | null | 2024-04-13T08:35:52+00:00 | [] | [] | TAGS
#diffusers #autotrain #stable-diffusion-xl #stable-diffusion-xl-diffusers #text-to-image #lora #template-sd-lora #base_model-cagliostrolab/animagine-xl-3.1 #license-openrail++ #region-us
|
# AutoTrain SDXL LoRA DreamBooth - coinatur/shiroi-sakura-style
<Gallery />
## Model description
These are coinatur/shiroi-sakura-style LoRA adaption weights for stablediffusionapi/animagine-xl-31.
The weights were trained using DreamBooth.
LoRA for the text encoder was enabled: True.
Special VAE used for t... | [
"# AutoTrain SDXL LoRA DreamBooth - coinatur/shiroi-sakura-style\n\n<Gallery />",
"## Model description\n\nThese are coinatur/shiroi-sakura-style LoRA adaption weights for stablediffusionapi/animagine-xl-31.\n\nThe weights were trained using DreamBooth.\n\nLoRA for the text encoder was enabled: True.\n\nSpecial ... | [
"TAGS\n#diffusers #autotrain #stable-diffusion-xl #stable-diffusion-xl-diffusers #text-to-image #lora #template-sd-lora #base_model-cagliostrolab/animagine-xl-3.1 #license-openrail++ #region-us \n",
"# AutoTrain SDXL LoRA DreamBooth - coinatur/shiroi-sakura-style\n\n<Gallery />",
"## Model description\n\nThese ... | [
70,
26,
69,
19,
25
] | [
"TAGS\n#diffusers #autotrain #stable-diffusion-xl #stable-diffusion-xl-diffusers #text-to-image #lora #template-sd-lora #base_model-cagliostrolab/animagine-xl-3.1 #license-openrail++ #region-us \n# AutoTrain SDXL LoRA DreamBooth - coinatur/shiroi-sakura-style\n\n<Gallery />## Model description\n\nThese are coinatur... |
text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | domenicrosati/adversarial_loss_lr_2e-5_defence_steps_10000_model_meta-llama_Llama-2-7b-chat-hf_batch_4_epoch_4 | null | [
"transformers",
"safetensors",
"llama",
"text-generation",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-13T08:39:47+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #llama #text-generation #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Developed by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Model type: \n- Language(s)... | [
"TAGS\n#transformers #safetensors #llama #text-generation #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed... | [
44,
6,
4,
75,
23,
3,
5,
8,
9,
8,
34,
20,
4,
5,
5,
11,
13,
12,
3,
10,
6,
5,
6,
4,
5,
7,
49,
7,
7,
5,
5,
15,
7,
7,
8,
5
] | [
"TAGS\n#transformers #safetensors #llama #text-generation #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n# Model Card for Model ID## Model Details### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This ... |
visual-question-answering | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | thdangtr/blip_recipe1m_v1 | null | [
"transformers",
"safetensors",
"blip",
"visual-question-answering",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-04-13T08:40:19+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #blip #visual-question-answering #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Developed by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Model type: \n- Language(s)... | [
"TAGS\n#transformers #safetensors #blip #visual-question-answering #arxiv-1910.09700 #endpoints_compatible #region-us \n",
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been au... | [
35,
6,
4,
75,
23,
3,
5,
8,
9,
8,
34,
20,
4,
5,
5,
11,
13,
12,
3,
10,
6,
5,
6,
4,
5,
7,
49,
7,
7,
5,
5,
15,
7,
7,
8,
5
] | [
"TAGS\n#transformers #safetensors #blip #visual-question-answering #arxiv-1910.09700 #endpoints_compatible #region-us \n# Model Card for Model ID## Model Details### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically genera... |
null | transformers |
# DavidAU/ConfigurableHermes-7B-Q6_K-GGUF
This model was converted to GGUF format from [`vicgalle/ConfigurableHermes-7B`](https://huggingface.co/vicgalle/ConfigurableHermes-7B) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original model card... | {"license": "apache-2.0", "library_name": "transformers", "tags": ["llama-cpp", "gguf-my-repo"], "datasets": ["vicgalle/configurable-system-prompt-multitask"], "model-index": [{"name": "ConfigurableHermes-7B", "results": [{"task": {"type": "text-generation", "name": "Text Generation"}, "dataset": {"name": "AI2 Reasonin... | DavidAU/ConfigurableHermes-7B-Q6_K-GGUF | null | [
"transformers",
"gguf",
"llama-cpp",
"gguf-my-repo",
"dataset:vicgalle/configurable-system-prompt-multitask",
"license:apache-2.0",
"model-index",
"endpoints_compatible",
"region:us"
] | null | 2024-04-13T08:40:54+00:00 | [] | [] | TAGS
#transformers #gguf #llama-cpp #gguf-my-repo #dataset-vicgalle/configurable-system-prompt-multitask #license-apache-2.0 #model-index #endpoints_compatible #region-us
|
# DavidAU/ConfigurableHermes-7B-Q6_K-GGUF
This model was converted to GGUF format from 'vicgalle/ConfigurableHermes-7B' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
CLI:
Ser... | [
"# DavidAU/ConfigurableHermes-7B-Q6_K-GGUF\nThis model was converted to GGUF format from 'vicgalle/ConfigurableHermes-7B' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
"## Use with URL\n\nInstall URL through brew.\n\n\nInvoke the URL server or the C... | [
"TAGS\n#transformers #gguf #llama-cpp #gguf-my-repo #dataset-vicgalle/configurable-system-prompt-multitask #license-apache-2.0 #model-index #endpoints_compatible #region-us \n",
"# DavidAU/ConfigurableHermes-7B-Q6_K-GGUF\nThis model was converted to GGUF format from 'vicgalle/ConfigurableHermes-7B' using URL via ... | [
63,
79,
52
] | [
"TAGS\n#transformers #gguf #llama-cpp #gguf-my-repo #dataset-vicgalle/configurable-system-prompt-multitask #license-apache-2.0 #model-index #endpoints_compatible #region-us \n# DavidAU/ConfigurableHermes-7B-Q6_K-GGUF\nThis model was converted to GGUF format from 'vicgalle/ConfigurableHermes-7B' using URL via the UR... |
null | transformers |
# DavidAU/Worldsim-Hermes-7B-Q6_K-GGUF
This model was converted to GGUF format from [`vicgalle/Worldsim-Hermes-7B`](https://huggingface.co/vicgalle/Worldsim-Hermes-7B) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original model card](https:/... | {"license": "apache-2.0", "library_name": "transformers", "tags": ["llama-cpp", "gguf-my-repo"], "datasets": ["vicgalle/worldsim-claude-opus"]} | DavidAU/Worldsim-Hermes-7B-Q6_K-GGUF | null | [
"transformers",
"gguf",
"llama-cpp",
"gguf-my-repo",
"dataset:vicgalle/worldsim-claude-opus",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2024-04-13T08:41:50+00:00 | [] | [] | TAGS
#transformers #gguf #llama-cpp #gguf-my-repo #dataset-vicgalle/worldsim-claude-opus #license-apache-2.0 #endpoints_compatible #region-us
|
# DavidAU/Worldsim-Hermes-7B-Q6_K-GGUF
This model was converted to GGUF format from 'vicgalle/Worldsim-Hermes-7B' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
CLI:
Server:
... | [
"# DavidAU/Worldsim-Hermes-7B-Q6_K-GGUF\nThis model was converted to GGUF format from 'vicgalle/Worldsim-Hermes-7B' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
"## Use with URL\n\nInstall URL through brew.\n\n\nInvoke the URL server or the CLI.\n\... | [
"TAGS\n#transformers #gguf #llama-cpp #gguf-my-repo #dataset-vicgalle/worldsim-claude-opus #license-apache-2.0 #endpoints_compatible #region-us \n",
"# DavidAU/Worldsim-Hermes-7B-Q6_K-GGUF\nThis model was converted to GGUF format from 'vicgalle/Worldsim-Hermes-7B' using URL via the URL's GGUF-my-repo space.\nRefe... | [
53,
75,
52
] | [
"TAGS\n#transformers #gguf #llama-cpp #gguf-my-repo #dataset-vicgalle/worldsim-claude-opus #license-apache-2.0 #endpoints_compatible #region-us \n# DavidAU/Worldsim-Hermes-7B-Q6_K-GGUF\nThis model was converted to GGUF format from 'vicgalle/Worldsim-Hermes-7B' using URL via the URL's GGUF-my-repo space.\nRefer to t... |
reinforcement-learning | null |
# **Q-Learning** Agent playing1 **Taxi-v3**
This is a trained model of a **Q-Learning** agent playing **Taxi-v3** .
## Usage
```python
model = load_from_hub(repo_id="arvin-zaheri/q-Taxi-v3", filename="q-learning.pkl")
# Don't forget to check if you need to add additional attributes (is_slippery=False e... | {"tags": ["Taxi-v3", "q-learning", "reinforcement-learning", "custom-implementation"], "model-index": [{"name": "q-Taxi-v3", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "Taxi-v3", "type": "Taxi-v3"}, "metrics": [{"type": "mean_reward", "value": "7.50 +/... | arvin-zaheri/q-Taxi-v3 | null | [
"Taxi-v3",
"q-learning",
"reinforcement-learning",
"custom-implementation",
"model-index",
"region:us"
] | null | 2024-04-13T08:42:27+00:00 | [] | [] | TAGS
#Taxi-v3 #q-learning #reinforcement-learning #custom-implementation #model-index #region-us
|
# Q-Learning Agent playing1 Taxi-v3
This is a trained model of a Q-Learning agent playing Taxi-v3 .
## Usage
| [
"# Q-Learning Agent playing1 Taxi-v3\n This is a trained model of a Q-Learning agent playing Taxi-v3 .\n\n ## Usage"
] | [
"TAGS\n#Taxi-v3 #q-learning #reinforcement-learning #custom-implementation #model-index #region-us \n",
"# Q-Learning Agent playing1 Taxi-v3\n This is a trained model of a Q-Learning agent playing Taxi-v3 .\n\n ## Usage"
] | [
26,
31
] | [
"TAGS\n#Taxi-v3 #q-learning #reinforcement-learning #custom-implementation #model-index #region-us \n# Q-Learning Agent playing1 Taxi-v3\n This is a trained model of a Q-Learning agent playing Taxi-v3 .\n\n ## Usage"
] |
null | transformers |
# DavidAU/SystemConfigHermes-7B-Q6_K-GGUF
This model was converted to GGUF format from [`vicgalle/SystemConfigHermes-7B`](https://huggingface.co/vicgalle/SystemConfigHermes-7B) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original model card... | {"license": "apache-2.0", "library_name": "transformers", "tags": ["llama-cpp", "gguf-my-repo"]} | DavidAU/SystemConfigHermes-7B-Q6_K-GGUF | null | [
"transformers",
"gguf",
"llama-cpp",
"gguf-my-repo",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2024-04-13T08:42:48+00:00 | [] | [] | TAGS
#transformers #gguf #llama-cpp #gguf-my-repo #license-apache-2.0 #endpoints_compatible #region-us
|
# DavidAU/SystemConfigHermes-7B-Q6_K-GGUF
This model was converted to GGUF format from 'vicgalle/SystemConfigHermes-7B' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
CLI:
Ser... | [
"# DavidAU/SystemConfigHermes-7B-Q6_K-GGUF\nThis model was converted to GGUF format from 'vicgalle/SystemConfigHermes-7B' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
"## Use with URL\n\nInstall URL through brew.\n\n\nInvoke the URL server or the C... | [
"TAGS\n#transformers #gguf #llama-cpp #gguf-my-repo #license-apache-2.0 #endpoints_compatible #region-us \n",
"# DavidAU/SystemConfigHermes-7B-Q6_K-GGUF\nThis model was converted to GGUF format from 'vicgalle/SystemConfigHermes-7B' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for ... | [
39,
79,
52
] | [
"TAGS\n#transformers #gguf #llama-cpp #gguf-my-repo #license-apache-2.0 #endpoints_compatible #region-us \n# DavidAU/SystemConfigHermes-7B-Q6_K-GGUF\nThis model was converted to GGUF format from 'vicgalle/SystemConfigHermes-7B' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more d... |
null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | liewchooichin/my-mini-code-search-net-tokenizer | null | [
"transformers",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-04-13T08:43:26+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Developed by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Model type: \n- Language(s)... | [
"TAGS\n#transformers #arxiv-1910.09700 #endpoints_compatible #region-us \n",
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Developed by: \n- ... | [
22,
6,
4,
75,
23,
3,
5,
8,
9,
8,
34,
20,
4,
5,
5,
11,
13,
12,
3,
10,
6,
5,
6,
4,
5,
7,
49,
7,
7,
5,
5,
15,
7,
7,
8,
5
] | [
"TAGS\n#transformers #arxiv-1910.09700 #endpoints_compatible #region-us \n# Model Card for Model ID## Model Details### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Developed by: \n- Funded by [optiona... |
null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | mohit19906/mistral-7b-Ins-IntentAndEntity | null | [
"transformers",
"safetensors",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-04-13T08:43:29+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Developed by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Model type: \n- Language(s)... | [
"TAGS\n#transformers #safetensors #arxiv-1910.09700 #endpoints_compatible #region-us \n",
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Devel... | [
26,
6,
4,
75,
23,
3,
5,
8,
9,
8,
34,
20,
4,
5,
5,
11,
13,
12,
3,
10,
6,
5,
6,
4,
5,
7,
49,
7,
7,
5,
5,
15,
7,
7,
8,
5
] | [
"TAGS\n#transformers #safetensors #arxiv-1910.09700 #endpoints_compatible #region-us \n# Model Card for Model ID## Model Details### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Developed by: \n- Funde... |
null | transformers |
# DavidAU/Configurable-Mistral-22B-Q6_K-GGUF
This model was converted to GGUF format from [`vicgalle/Configurable-Mistral-22B`](https://huggingface.co/vicgalle/Configurable-Mistral-22B) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original m... | {"license": "apache-2.0", "library_name": "transformers", "tags": ["llama-cpp", "gguf-my-repo"]} | DavidAU/Configurable-Mistral-22B-Q6_K-GGUF | null | [
"transformers",
"gguf",
"llama-cpp",
"gguf-my-repo",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2024-04-13T08:48:55+00:00 | [] | [] | TAGS
#transformers #gguf #llama-cpp #gguf-my-repo #license-apache-2.0 #endpoints_compatible #region-us
|
# DavidAU/Configurable-Mistral-22B-Q6_K-GGUF
This model was converted to GGUF format from 'vicgalle/Configurable-Mistral-22B' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
CLI:
... | [
"# DavidAU/Configurable-Mistral-22B-Q6_K-GGUF\nThis model was converted to GGUF format from 'vicgalle/Configurable-Mistral-22B' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
"## Use with URL\n\nInstall URL through brew.\n\n\nInvoke the URL server or... | [
"TAGS\n#transformers #gguf #llama-cpp #gguf-my-repo #license-apache-2.0 #endpoints_compatible #region-us \n",
"# DavidAU/Configurable-Mistral-22B-Q6_K-GGUF\nThis model was converted to GGUF format from 'vicgalle/Configurable-Mistral-22B' using URL via the URL's GGUF-my-repo space.\nRefer to the original model car... | [
39,
81,
52
] | [
"TAGS\n#transformers #gguf #llama-cpp #gguf-my-repo #license-apache-2.0 #endpoints_compatible #region-us \n# DavidAU/Configurable-Mistral-22B-Q6_K-GGUF\nThis model was converted to GGUF format from 'vicgalle/Configurable-Mistral-22B' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for ... |
null | transformers |
# DavidAU/Mixtral-7Bx2-truthy-Q6_K-GGUF
This model was converted to GGUF format from [`vicgalle/Mixtral-7Bx2-truthy`](https://huggingface.co/vicgalle/Mixtral-7Bx2-truthy) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original model card](http... | {"license": "apache-2.0", "library_name": "transformers", "tags": ["llama-cpp", "gguf-my-repo"], "datasets": ["jondurbin/truthy-dpo-v0.1"], "model-index": [{"name": "Mixtral-7Bx2-truthy", "results": [{"task": {"type": "text-generation", "name": "Text Generation"}, "dataset": {"name": "AI2 Reasoning Challenge (25-Shot)"... | DavidAU/Mixtral-7Bx2-truthy-Q6_K-GGUF | null | [
"transformers",
"gguf",
"llama-cpp",
"gguf-my-repo",
"dataset:jondurbin/truthy-dpo-v0.1",
"license:apache-2.0",
"model-index",
"endpoints_compatible",
"region:us"
] | null | 2024-04-13T08:55:55+00:00 | [] | [] | TAGS
#transformers #gguf #llama-cpp #gguf-my-repo #dataset-jondurbin/truthy-dpo-v0.1 #license-apache-2.0 #model-index #endpoints_compatible #region-us
|
# DavidAU/Mixtral-7Bx2-truthy-Q6_K-GGUF
This model was converted to GGUF format from 'vicgalle/Mixtral-7Bx2-truthy' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
CLI:
Server:... | [
"# DavidAU/Mixtral-7Bx2-truthy-Q6_K-GGUF\nThis model was converted to GGUF format from 'vicgalle/Mixtral-7Bx2-truthy' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
"## Use with URL\n\nInstall URL through brew.\n\n\nInvoke the URL server or the CLI.\... | [
"TAGS\n#transformers #gguf #llama-cpp #gguf-my-repo #dataset-jondurbin/truthy-dpo-v0.1 #license-apache-2.0 #model-index #endpoints_compatible #region-us \n",
"# DavidAU/Mixtral-7Bx2-truthy-Q6_K-GGUF\nThis model was converted to GGUF format from 'vicgalle/Mixtral-7Bx2-truthy' using URL via the URL's GGUF-my-repo s... | [
61,
81,
52
] | [
"TAGS\n#transformers #gguf #llama-cpp #gguf-my-repo #dataset-jondurbin/truthy-dpo-v0.1 #license-apache-2.0 #model-index #endpoints_compatible #region-us \n# DavidAU/Mixtral-7Bx2-truthy-Q6_K-GGUF\nThis model was converted to GGUF format from 'vicgalle/Mixtral-7Bx2-truthy' using URL via the URL's GGUF-my-repo space.\... |
text-to-image | diffusers |
# AutoTrain SDXL LoRA DreamBooth - Suiren00/dreambooth_stablediffusion_test_dais
<Gallery />
## Model description
These are Suiren00/dreambooth_stablediffusion_test_dais LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0.
The weights were trained using [DreamBooth](https://dreambooth.github.io... | {"license": "openrail++", "tags": ["autotrain", "stable-diffusion-xl", "stable-diffusion-xl-diffusers", "text-to-image", "diffusers", "lora", "template:sd-lora"], "base_model": "stabilityai/stable-diffusion-xl-base-1.0", "instance_prompt": "a photo of DAISUKE wearing clothes"} | Suiren00/dreambooth_stablediffusion_test_dais | null | [
"diffusers",
"autotrain",
"stable-diffusion-xl",
"stable-diffusion-xl-diffusers",
"text-to-image",
"lora",
"template:sd-lora",
"base_model:stabilityai/stable-diffusion-xl-base-1.0",
"license:openrail++",
"region:us"
] | null | 2024-04-13T08:57:09+00:00 | [] | [] | TAGS
#diffusers #autotrain #stable-diffusion-xl #stable-diffusion-xl-diffusers #text-to-image #lora #template-sd-lora #base_model-stabilityai/stable-diffusion-xl-base-1.0 #license-openrail++ #region-us
|
# AutoTrain SDXL LoRA DreamBooth - Suiren00/dreambooth_stablediffusion_test_dais
<Gallery />
## Model description
These are Suiren00/dreambooth_stablediffusion_test_dais LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0.
The weights were trained using DreamBooth.
LoRA for the text encoder wa... | [
"# AutoTrain SDXL LoRA DreamBooth - Suiren00/dreambooth_stablediffusion_test_dais\n\n<Gallery />",
"## Model description\n\nThese are Suiren00/dreambooth_stablediffusion_test_dais LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0.\n\nThe weights were trained using DreamBooth.\n\nLoRA for the tex... | [
"TAGS\n#diffusers #autotrain #stable-diffusion-xl #stable-diffusion-xl-diffusers #text-to-image #lora #template-sd-lora #base_model-stabilityai/stable-diffusion-xl-base-1.0 #license-openrail++ #region-us \n",
"# AutoTrain SDXL LoRA DreamBooth - Suiren00/dreambooth_stablediffusion_test_dais\n\n<Gallery />",
"## ... | [
68,
33,
75,
20,
25
] | [
"TAGS\n#diffusers #autotrain #stable-diffusion-xl #stable-diffusion-xl-diffusers #text-to-image #lora #template-sd-lora #base_model-stabilityai/stable-diffusion-xl-base-1.0 #license-openrail++ #region-us \n# AutoTrain SDXL LoRA DreamBooth - Suiren00/dreambooth_stablediffusion_test_dais\n\n<Gallery />## Model descri... |
token-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# xlm-roberta-base-finetuned-panx-it
This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-b... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["f1"], "base_model": "xlm-roberta-base", "model-index": [{"name": "xlm-roberta-base-finetuned-panx-it", "results": []}]} | SORABE/xlm-roberta-base-finetuned-panx-it | null | [
"transformers",
"safetensors",
"xlm-roberta",
"token-classification",
"generated_from_trainer",
"base_model:xlm-roberta-base",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-13T08:57:35+00:00 | [] | [] | TAGS
#transformers #safetensors #xlm-roberta #token-classification #generated_from_trainer #base_model-xlm-roberta-base #license-mit #autotrain_compatible #endpoints_compatible #region-us
| xlm-roberta-base-finetuned-panx-it
==================================
This model is a fine-tuned version of xlm-roberta-base on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.2619
* F1: 0.8321
Model description
-----------------
More information needed
Intended uses & l... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 24\n* eval\\_batch\\_size: 24\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 3",
"### Traini... | [
"TAGS\n#transformers #safetensors #xlm-roberta #token-classification #generated_from_trainer #base_model-xlm-roberta-base #license-mit #autotrain_compatible #endpoints_compatible #region-us \n",
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-... | [
51,
101,
5,
44
] | [
"TAGS\n#transformers #safetensors #xlm-roberta #token-classification #generated_from_trainer #base_model-xlm-roberta-base #license-mit #autotrain_compatible #endpoints_compatible #region-us \n### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* ... |
token-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# xlm-roberta-base-finetuned-panx-en
This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-b... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["f1"], "base_model": "xlm-roberta-base", "model-index": [{"name": "xlm-roberta-base-finetuned-panx-en", "results": []}]} | SORABE/xlm-roberta-base-finetuned-panx-en | null | [
"transformers",
"safetensors",
"xlm-roberta",
"token-classification",
"generated_from_trainer",
"base_model:xlm-roberta-base",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-13T08:59:58+00:00 | [] | [] | TAGS
#transformers #safetensors #xlm-roberta #token-classification #generated_from_trainer #base_model-xlm-roberta-base #license-mit #autotrain_compatible #endpoints_compatible #region-us
| xlm-roberta-base-finetuned-panx-en
==================================
This model is a fine-tuned version of xlm-roberta-base on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.3905
* F1: 0.6861
Model description
-----------------
More information needed
Intended uses & l... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 24\n* eval\\_batch\\_size: 24\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 3",
"### Traini... | [
"TAGS\n#transformers #safetensors #xlm-roberta #token-classification #generated_from_trainer #base_model-xlm-roberta-base #license-mit #autotrain_compatible #endpoints_compatible #region-us \n",
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-... | [
51,
101,
5,
44
] | [
"TAGS\n#transformers #safetensors #xlm-roberta #token-classification #generated_from_trainer #base_model-xlm-roberta-base #license-mit #autotrain_compatible #endpoints_compatible #region-us \n### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* ... |
text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# imdb_classification_roberta_best_epoch_f1
This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-ba... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "roberta-base", "model-index": [{"name": "imdb_classification_roberta_best_epoch_f1", "results": []}]} | ltuzova/imdb_classification_roberta_best_epoch_f1 | null | [
"transformers",
"tensorboard",
"safetensors",
"roberta",
"text-classification",
"generated_from_trainer",
"base_model:roberta-base",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-13T09:02:10+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #roberta #text-classification #generated_from_trainer #base_model-roberta-base #license-mit #autotrain_compatible #endpoints_compatible #region-us
| imdb\_classification\_roberta\_best\_epoch\_f1
==============================================
This model is a fine-tuned version of roberta-base on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.2205
* Accuracy: 0.9516
* F1 Macro: 0.9516
Model description
-----------------
... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 16\n* eval\\_batch\\_size: 16\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.98) and epsilon=1e-06\n* lr\\_scheduler\\_type: linear\n* lr\\_scheduler\\_warmup\\_ratio:... | [
"TAGS\n#transformers #tensorboard #safetensors #roberta #text-classification #generated_from_trainer #base_model-roberta-base #license-mit #autotrain_compatible #endpoints_compatible #region-us \n",
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate:... | [
48,
119,
5,
44
] | [
"TAGS\n#transformers #tensorboard #safetensors #roberta #text-classification #generated_from_trainer #base_model-roberta-base #license-mit #autotrain_compatible #endpoints_compatible #region-us \n### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05... |
token-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# xlm-roberta-base-finetuned-panx-all
This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["f1"], "base_model": "xlm-roberta-base", "model-index": [{"name": "xlm-roberta-base-finetuned-panx-all", "results": []}]} | SORABE/xlm-roberta-base-finetuned-panx-all | null | [
"transformers",
"safetensors",
"xlm-roberta",
"token-classification",
"generated_from_trainer",
"base_model:xlm-roberta-base",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-13T09:02:12+00:00 | [] | [] | TAGS
#transformers #safetensors #xlm-roberta #token-classification #generated_from_trainer #base_model-xlm-roberta-base #license-mit #autotrain_compatible #endpoints_compatible #region-us
| xlm-roberta-base-finetuned-panx-all
===================================
This model is a fine-tuned version of xlm-roberta-base on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1758
* F1: 0.8558
Model description
-----------------
More information needed
Intended uses & l... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 24\n* eval\\_batch\\_size: 24\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 3",
"### Traini... | [
"TAGS\n#transformers #safetensors #xlm-roberta #token-classification #generated_from_trainer #base_model-xlm-roberta-base #license-mit #autotrain_compatible #endpoints_compatible #region-us \n",
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-... | [
51,
101,
5,
44
] | [
"TAGS\n#transformers #safetensors #xlm-roberta #token-classification #generated_from_trainer #base_model-xlm-roberta-base #license-mit #autotrain_compatible #endpoints_compatible #region-us \n### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* ... |
text-generation | transformers | # merge
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
## Merge Details
### Merge Method
This model was merged using the [TIES](https://arxiv.org/abs/2306.01708) merge method using [mistralai/Mistral-7B-Instruct-v0.2](https://huggingface.co/mistralai/Mistr... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["mistralai/Mistral-7B-Instruct-v0.2", "BioMistral/BioMistral-7B"]} | jdavis/Bio-Mixtral-v0 | null | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"mergekit",
"merge",
"conversational",
"arxiv:2306.01708",
"base_model:mistralai/Mistral-7B-Instruct-v0.2",
"base_model:BioMistral/BioMistral-7B",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"regi... | null | 2024-04-13T09:11:13+00:00 | [
"2306.01708"
] | [] | TAGS
#transformers #safetensors #mistral #text-generation #mergekit #merge #conversational #arxiv-2306.01708 #base_model-mistralai/Mistral-7B-Instruct-v0.2 #base_model-BioMistral/BioMistral-7B #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| # merge
This is a merge of pre-trained language models created using mergekit.
## Merge Details
### Merge Method
This model was merged using the TIES merge method using mistralai/Mistral-7B-Instruct-v0.2 as a base.
### Models Merged
The following models were included in the merge:
* BioMistral/BioMistral-7B
### C... | [
"# merge\n\nThis is a merge of pre-trained language models created using mergekit.",
"## Merge Details",
"### Merge Method\n\nThis model was merged using the TIES merge method using mistralai/Mistral-7B-Instruct-v0.2 as a base.",
"### Models Merged\n\nThe following models were included in the merge:\n* BioMis... | [
"TAGS\n#transformers #safetensors #mistral #text-generation #mergekit #merge #conversational #arxiv-2306.01708 #base_model-mistralai/Mistral-7B-Instruct-v0.2 #base_model-BioMistral/BioMistral-7B #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
"# merge\n\nThis is a merge of p... | [
90,
17,
4,
36,
25,
16
] | [
"TAGS\n#transformers #safetensors #mistral #text-generation #mergekit #merge #conversational #arxiv-2306.01708 #base_model-mistralai/Mistral-7B-Instruct-v0.2 #base_model-BioMistral/BioMistral-7B #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n# merge\n\nThis is a merge of pre-tra... |
null | null | ## About
These are quantized Bielik models, from https://huggingface.co/speakleash
Keep in mind the original model license when using these models
## Quantization process:
1. Under your `llama.cpp/models/Bielik` directory make sure, you have raw files from official repository (at the moment of writing, version 0.1:... | {"language": ["pl"], "license": "cc-by-nc-4.0", "datasets": ["wikipedia"]} | Crad/Bielik-GGUF | null | [
"gguf",
"pl",
"dataset:wikipedia",
"license:cc-by-nc-4.0",
"region:us"
] | null | 2024-04-13T09:14:47+00:00 | [] | [
"pl"
] | TAGS
#gguf #pl #dataset-wikipedia #license-cc-by-nc-4.0 #region-us
| ## About
These are quantized Bielik models, from URL
Keep in mind the original model license when using these models
## Quantization process:
1. Under your 'URL directory make sure, you have raw files from official repository (at the moment of writing, version 0.1: URL
2. Execute 'python URL --outtype f16 models... | [
"## About\n\nThese are quantized Bielik models, from URL\n\nKeep in mind the original model license when using these models",
"## Quantization process:\n1. Under your 'URL directory make sure, you have raw files from official repository (at the moment of writing, version 0.1: URL\n\n\n\n2. Execute 'python URL --o... | [
"TAGS\n#gguf #pl #dataset-wikipedia #license-cc-by-nc-4.0 #region-us \n",
"## About\n\nThese are quantized Bielik models, from URL\n\nKeep in mind the original model license when using these models",
"## Quantization process:\n1. Under your 'URL directory make sure, you have raw files from official repository (... | [
28,
26,
175,
60,
7,
7,
8,
8,
8,
9,
15,
12,
33
] | [
"TAGS\n#gguf #pl #dataset-wikipedia #license-cc-by-nc-4.0 #region-us \n## About\n\nThese are quantized Bielik models, from URL\n\nKeep in mind the original model license when using these models## Quantization process:\n1. Under your 'URL directory make sure, you have raw files from official repository (at the momen... |
text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "pipeline_tag": "text-generation"} | KarthikSab45/finetune-llama-medical | null | [
"transformers",
"safetensors",
"text-generation",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-04-13T09:15:03+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #text-generation #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Developed by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Model type: \n- Language(s)... | [
"TAGS\n#transformers #safetensors #text-generation #arxiv-1910.09700 #endpoints_compatible #region-us \n",
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically gene... | [
30,
6,
4,
75,
23,
3,
5,
8,
9,
8,
34,
20,
4,
5,
5,
11,
13,
12,
3,
10,
6,
5,
6,
4,
5,
7,
49,
7,
7,
5,
5,
15,
7,
7,
8,
5
] | [
"TAGS\n#transformers #safetensors #text-generation #arxiv-1910.09700 #endpoints_compatible #region-us \n# Model Card for Model ID## Model Details### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Develo... |
text-generation | transformers |
# CreativeSmart-2x7B
CreativeSmart-2x7B is an experimental model designed to provide creative, smart, and uncensored assistance to users. It is a mixture of experts model, which means it combines the expertise of multiple specialized models to provide more comprehensive and accurate responses. The model is intended t... | {"license": "apache-2.0", "tags": ["moe", "frankenmoe", "merge", "mergekit", "lazymergekit", "Nexusflow/Starling-LM-7B-beta", "bunnycore/Chimera-Apex-7B"], "base_model": ["Nexusflow/Starling-LM-7B-beta", "bunnycore/Chimera-Apex-7B"]} | bunnycore/CreativeSmart-2x7B | null | [
"transformers",
"safetensors",
"mixtral",
"text-generation",
"moe",
"frankenmoe",
"merge",
"mergekit",
"lazymergekit",
"Nexusflow/Starling-LM-7B-beta",
"bunnycore/Chimera-Apex-7B",
"conversational",
"base_model:Nexusflow/Starling-LM-7B-beta",
"base_model:bunnycore/Chimera-Apex-7B",
"lice... | null | 2024-04-13T09:17:41+00:00 | [] | [] | TAGS
#transformers #safetensors #mixtral #text-generation #moe #frankenmoe #merge #mergekit #lazymergekit #Nexusflow/Starling-LM-7B-beta #bunnycore/Chimera-Apex-7B #conversational #base_model-Nexusflow/Starling-LM-7B-beta #base_model-bunnycore/Chimera-Apex-7B #license-apache-2.0 #autotrain_compatible #endpoints_compati... |
# CreativeSmart-2x7B
CreativeSmart-2x7B is an experimental model designed to provide creative, smart, and uncensored assistance to users. It is a mixture of experts model, which means it combines the expertise of multiple specialized models to provide more comprehensive and accurate responses. The model is intended t... | [
"# CreativeSmart-2x7B\n\nCreativeSmart-2x7B is an experimental model designed to provide creative, smart, and uncensored assistance to users. It is a mixture of experts model, which means it combines the expertise of multiple specialized models to provide more comprehensive and accurate responses. The model is inte... | [
"TAGS\n#transformers #safetensors #mixtral #text-generation #moe #frankenmoe #merge #mergekit #lazymergekit #Nexusflow/Starling-LM-7B-beta #bunnycore/Chimera-Apex-7B #conversational #base_model-Nexusflow/Starling-LM-7B-beta #base_model-bunnycore/Chimera-Apex-7B #license-apache-2.0 #autotrain_compatible #endpoints_c... | [
122,
85,
64,
69,
61,
3,
3
] | [
"TAGS\n#transformers #safetensors #mixtral #text-generation #moe #frankenmoe #merge #mergekit #lazymergekit #Nexusflow/Starling-LM-7B-beta #bunnycore/Chimera-Apex-7B #conversational #base_model-Nexusflow/Starling-LM-7B-beta #base_model-bunnycore/Chimera-Apex-7B #license-apache-2.0 #autotrain_compatible #endpoints_c... |
reinforcement-learning | ml-agents |
# **ppo** Agent playing **Huggy**
This is a trained model of a **ppo** agent playing **Huggy**
using the [Unity ML-Agents Library](https://github.com/Unity-Technologies/ml-agents).
## Usage (with ML-Agents)
The Documentation: https://unity-technologies.github.io/ml-agents/ML-Agents-Toolkit-Documentation/
... | {"library_name": "ml-agents", "tags": ["Huggy", "deep-reinforcement-learning", "reinforcement-learning", "ML-Agents-Huggy"]} | Edgar404/ppo-Huggy | null | [
"ml-agents",
"tensorboard",
"onnx",
"Huggy",
"deep-reinforcement-learning",
"reinforcement-learning",
"ML-Agents-Huggy",
"region:us"
] | null | 2024-04-13T09:18:44+00:00 | [] | [] | TAGS
#ml-agents #tensorboard #onnx #Huggy #deep-reinforcement-learning #reinforcement-learning #ML-Agents-Huggy #region-us
|
# ppo Agent playing Huggy
This is a trained model of a ppo agent playing Huggy
using the Unity ML-Agents Library.
## Usage (with ML-Agents)
The Documentation: URL
We wrote a complete tutorial to learn to train your first agent using ML-Agents and publish it to the Hub:
- A *short tutorial* where you te... | [
"# ppo Agent playing Huggy\n This is a trained model of a ppo agent playing Huggy\n using the Unity ML-Agents Library.\n\n ## Usage (with ML-Agents)\n The Documentation: URL\n\n We wrote a complete tutorial to learn to train your first agent using ML-Agents and publish it to the Hub:\n - A *short tutorial* wh... | [
"TAGS\n#ml-agents #tensorboard #onnx #Huggy #deep-reinforcement-learning #reinforcement-learning #ML-Agents-Huggy #region-us \n",
"# ppo Agent playing Huggy\n This is a trained model of a ppo agent playing Huggy\n using the Unity ML-Agents Library.\n\n ## Usage (with ML-Agents)\n The Documentation: URL\n\n W... | [
35,
199
] | [
"TAGS\n#ml-agents #tensorboard #onnx #Huggy #deep-reinforcement-learning #reinforcement-learning #ML-Agents-Huggy #region-us \n# ppo Agent playing Huggy\n This is a trained model of a ppo agent playing Huggy\n using the Unity ML-Agents Library.\n\n ## Usage (with ML-Agents)\n The Documentation: URL\n\n We wrot... |
text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# amazon_helpfulness_classification_roberta_best_f1
This model is a fine-tuned version of [roberta-base](https://huggingface.co/ro... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "roberta-base", "model-index": [{"name": "amazon_helpfulness_classification_roberta_best_f1", "results": []}]} | ltuzova/amazon_helpfulness_classification_roberta_best_f1 | null | [
"transformers",
"tensorboard",
"safetensors",
"roberta",
"text-classification",
"generated_from_trainer",
"base_model:roberta-base",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-13T09:20:02+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #roberta #text-classification #generated_from_trainer #base_model-roberta-base #license-mit #autotrain_compatible #endpoints_compatible #region-us
| amazon\_helpfulness\_classification\_roberta\_best\_f1
======================================================
This model is a fine-tuned version of roberta-base on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.3205
* Accuracy: 0.8724
* F1 Macro: 0.7004
Model description
--... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 16\n* eval\\_batch\\_size: 16\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.98) and epsilon=1e-06\n* lr\\_scheduler\\_type: linear\n* lr\\_scheduler\\_warmup\\_ratio:... | [
"TAGS\n#transformers #tensorboard #safetensors #roberta #text-classification #generated_from_trainer #base_model-roberta-base #license-mit #autotrain_compatible #endpoints_compatible #region-us \n",
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate:... | [
48,
119,
5,
44
] | [
"TAGS\n#transformers #tensorboard #safetensors #roberta #text-classification #generated_from_trainer #base_model-roberta-base #license-mit #autotrain_compatible #endpoints_compatible #region-us \n### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05... |
reinforcement-learning | null |
# **Q-Learning** Agent playing1 **Taxi-v3**
This is a trained model of a **Q-Learning** agent playing **Taxi-v3** .
## Usage
```python
model = load_from_hub(repo_id="nzdb70/Taxi-v3", filename="q-learning.pkl")
# Don't forget to check if you need to add additional attributes (is_slippery=False etc)
en... | {"tags": ["Taxi-v3", "q-learning", "reinforcement-learning", "custom-implementation"], "model-index": [{"name": "Taxi-v3", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "Taxi-v3", "type": "Taxi-v3"}, "metrics": [{"type": "mean_reward", "value": "7.56 +/- ... | nzdb70/Taxi-v3 | null | [
"Taxi-v3",
"q-learning",
"reinforcement-learning",
"custom-implementation",
"model-index",
"region:us"
] | null | 2024-04-13T09:21:43+00:00 | [] | [] | TAGS
#Taxi-v3 #q-learning #reinforcement-learning #custom-implementation #model-index #region-us
|
# Q-Learning Agent playing1 Taxi-v3
This is a trained model of a Q-Learning agent playing Taxi-v3 .
## Usage
| [
"# Q-Learning Agent playing1 Taxi-v3\n This is a trained model of a Q-Learning agent playing Taxi-v3 .\n\n ## Usage"
] | [
"TAGS\n#Taxi-v3 #q-learning #reinforcement-learning #custom-implementation #model-index #region-us \n",
"# Q-Learning Agent playing1 Taxi-v3\n This is a trained model of a Q-Learning agent playing Taxi-v3 .\n\n ## Usage"
] | [
26,
31
] | [
"TAGS\n#Taxi-v3 #q-learning #reinforcement-learning #custom-implementation #model-index #region-us \n# Q-Learning Agent playing1 Taxi-v3\n This is a trained model of a Q-Learning agent playing Taxi-v3 .\n\n ## Usage"
] |
null | adapter-transformers |
# Adapter `jgrc3/pfeiffer_adapter_classification_trained` for roberta-base
An [adapter](https://adapterhub.ml) for the `roberta-base` model that was trained on the [BigTMiami/amazon_helpfulness](https://huggingface.co/datasets/BigTMiami/amazon_helpfulness/) dataset and includes a prediction head for classification.
... | {"tags": ["roberta", "adapter-transformers"], "datasets": ["BigTMiami/amazon_helpfulness"]} | jgrc3/pfeiffer_adapter_classification_trained | null | [
"adapter-transformers",
"roberta",
"dataset:BigTMiami/amazon_helpfulness",
"region:us"
] | null | 2024-04-13T09:23:26+00:00 | [] | [] | TAGS
#adapter-transformers #roberta #dataset-BigTMiami/amazon_helpfulness #region-us
|
# Adapter 'jgrc3/pfeiffer_adapter_classification_trained' for roberta-base
An adapter for the 'roberta-base' model that was trained on the BigTMiami/amazon_helpfulness dataset and includes a prediction head for classification.
This adapter was created for usage with the Adapters library.
## Usage
First, install 'a... | [
"# Adapter 'jgrc3/pfeiffer_adapter_classification_trained' for roberta-base\n\nAn adapter for the 'roberta-base' model that was trained on the BigTMiami/amazon_helpfulness dataset and includes a prediction head for classification.\n\nThis adapter was created for usage with the Adapters library.",
"## Usage\n\nFir... | [
"TAGS\n#adapter-transformers #roberta #dataset-BigTMiami/amazon_helpfulness #region-us \n",
"# Adapter 'jgrc3/pfeiffer_adapter_classification_trained' for roberta-base\n\nAn adapter for the 'roberta-base' model that was trained on the BigTMiami/amazon_helpfulness dataset and includes a prediction head for classif... | [
25,
73,
24,
5,
4
] | [
"TAGS\n#adapter-transformers #roberta #dataset-BigTMiami/amazon_helpfulness #region-us \n# Adapter 'jgrc3/pfeiffer_adapter_classification_trained' for roberta-base\n\nAn adapter for the 'roberta-base' model that was trained on the BigTMiami/amazon_helpfulness dataset and includes a prediction head for classificatio... |
reinforcement-learning | stable-baselines3 |
# **A2C** Agent playing **PandaReachDense-v3**
This is a trained model of a **A2C** agent playing **PandaReachDense-v3**
using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3).
## Usage (with Stable-baselines3)
TODO: Add your code
```python
from stable_baselines3 import ...
from huggingf... | {"library_name": "stable-baselines3", "tags": ["PandaReachDense-v3", "deep-reinforcement-learning", "reinforcement-learning", "stable-baselines3"], "model-index": [{"name": "A2C", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "PandaReachDense-v3", "type":... | yankov1ch/a2c-PandaReachDense-v3 | null | [
"stable-baselines3",
"PandaReachDense-v3",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | null | 2024-04-13T09:23:30+00:00 | [] | [] | TAGS
#stable-baselines3 #PandaReachDense-v3 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
# A2C Agent playing PandaReachDense-v3
This is a trained model of a A2C agent playing PandaReachDense-v3
using the stable-baselines3 library.
## Usage (with Stable-baselines3)
TODO: Add your code
| [
"# A2C Agent playing PandaReachDense-v3\nThis is a trained model of a A2C agent playing PandaReachDense-v3\nusing the stable-baselines3 library.",
"## Usage (with Stable-baselines3)\nTODO: Add your code"
] | [
"TAGS\n#stable-baselines3 #PandaReachDense-v3 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us \n",
"# A2C Agent playing PandaReachDense-v3\nThis is a trained model of a A2C agent playing PandaReachDense-v3\nusing the stable-baselines3 library.",
"## Usage (with Stable-baselines3)\nT... | [
34,
41,
17
] | [
"TAGS\n#stable-baselines3 #PandaReachDense-v3 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us \n# A2C Agent playing PandaReachDense-v3\nThis is a trained model of a A2C agent playing PandaReachDense-v3\nusing the stable-baselines3 library.## Usage (with Stable-baselines3)\nTODO: Add you... |
null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# text-to-sql
This model is a fine-tuned version of [facebook/opt-350m](https://huggingface.co/facebook/opt-350m) on the generator... | {"license": "other", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "datasets": ["generator"], "base_model": "facebook/opt-350m", "model-index": [{"name": "text-to-sql", "results": []}]} | DuongTrongChi/opt-350m-text-to-sql | null | [
"peft",
"tensorboard",
"safetensors",
"trl",
"sft",
"generated_from_trainer",
"dataset:generator",
"base_model:facebook/opt-350m",
"license:other",
"region:us"
] | null | 2024-04-13T09:24:43+00:00 | [] | [] | TAGS
#peft #tensorboard #safetensors #trl #sft #generated_from_trainer #dataset-generator #base_model-facebook/opt-350m #license-other #region-us
|
# text-to-sql
This model is a fine-tuned version of facebook/opt-350m on the generator dataset.
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 0.0002
- train_batch_size: 3
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_s... | [
"# text-to-sql\n\nThis model is a fine-tuned version of facebook/opt-350m on the generator dataset.",
"### Training hyperparameters\n\nThe following hyperparameters were used during training:\n- learning_rate: 0.0002\n- train_batch_size: 3\n- eval_batch_size: 8\n- seed: 42\n- gradient_accumulation_steps: 2\n- tot... | [
"TAGS\n#peft #tensorboard #safetensors #trl #sft #generated_from_trainer #dataset-generator #base_model-facebook/opt-350m #license-other #region-us \n",
"# text-to-sql\n\nThis model is a fine-tuned version of facebook/opt-350m on the generator dataset.",
"### Training hyperparameters\n\nThe following hyperparam... | [
47,
27,
126,
55
] | [
"TAGS\n#peft #tensorboard #safetensors #trl #sft #generated_from_trainer #dataset-generator #base_model-facebook/opt-350m #license-other #region-us \n# text-to-sql\n\nThis model is a fine-tuned version of facebook/opt-350m on the generator dataset.### Training hyperparameters\n\nThe following hyperparameters were u... |
null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | Anaphase21/bloom_for_eng2 | null | [
"transformers",
"safetensors",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-04-13T09:25:07+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Developed by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Model type: \n- Language(s)... | [
"TAGS\n#transformers #safetensors #arxiv-1910.09700 #endpoints_compatible #region-us \n",
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Devel... | [
26,
6,
4,
75,
23,
3,
5,
8,
9,
8,
34,
20,
4,
5,
5,
11,
13,
12,
3,
10,
6,
5,
6,
4,
5,
7,
49,
7,
7,
5,
5,
15,
7,
7,
8,
5
] | [
"TAGS\n#transformers #safetensors #arxiv-1910.09700 #endpoints_compatible #region-us \n# Model Card for Model ID## Model Details### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Developed by: \n- Funde... |
text-generation | transformers |
# mlx-community/openthaigpt-1.0.0-7b-chat-4bit-mlx
This model was converted to MLX format from [`openthaigpt/openthaigpt-1.0.0-7b-chat`]().
Refer to the [original model card](https://huggingface.co/openthaigpt/openthaigpt-1.0.0-7b-chat) for more details on the model.
## Use with mlx
```bash
pip install mlx-lm
```
``... | {"language": ["th", "en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["openthaigpt", "llama", "mlx"], "pipeline_tag": "text-generation"} | mlx-community/openthaigpt-1.0.0-7b-chat-4bit-mlx | null | [
"transformers",
"safetensors",
"llama",
"text-generation",
"openthaigpt",
"mlx",
"th",
"en",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-13T09:32:07+00:00 | [] | [
"th",
"en"
] | TAGS
#transformers #safetensors #llama #text-generation #openthaigpt #mlx #th #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# mlx-community/openthaigpt-1.0.0-7b-chat-4bit-mlx
This model was converted to MLX format from ['openthaigpt/openthaigpt-1.0.0-7b-chat']().
Refer to the original model card for more details on the model.
## Use with mlx
| [
"# mlx-community/openthaigpt-1.0.0-7b-chat-4bit-mlx\nThis model was converted to MLX format from ['openthaigpt/openthaigpt-1.0.0-7b-chat']().\nRefer to the original model card for more details on the model.",
"## Use with mlx"
] | [
"TAGS\n#transformers #safetensors #llama #text-generation #openthaigpt #mlx #th #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
"# mlx-community/openthaigpt-1.0.0-7b-chat-4bit-mlx\nThis model was converted to MLX format from ['openthaigpt/openthaigpt-... | [
54,
76,
6
] | [
"TAGS\n#transformers #safetensors #llama #text-generation #openthaigpt #mlx #th #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n# mlx-community/openthaigpt-1.0.0-7b-chat-4bit-mlx\nThis model was converted to MLX format from ['openthaigpt/openthaigpt-1.0.0-... |
null | null |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# llama-7b-chat-Toxic-50k
This model is a fine-tuned version of [meta-llama/Llama-2-7b-chat-hf](https://huggingface.co/meta-llama/... | {"tags": ["trl", "sft", "generated_from_trainer"], "datasets": ["generator"], "base_model": "meta-llama/Llama-2-7b-chat-hf", "model-index": [{"name": "llama-7b-chat-Toxic-50k", "results": []}]} | Niyantha23M/llama-7b-chat-Toxic-50k | null | [
"trl",
"sft",
"generated_from_trainer",
"dataset:generator",
"base_model:meta-llama/Llama-2-7b-chat-hf",
"region:us"
] | null | 2024-04-13T09:34:44+00:00 | [] | [] | TAGS
#trl #sft #generated_from_trainer #dataset-generator #base_model-meta-llama/Llama-2-7b-chat-hf #region-us
|
# llama-7b-chat-Toxic-50k
This model is a fine-tuned version of meta-llama/Llama-2-7b-chat-hf on the generator dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Traini... | [
"# llama-7b-chat-Toxic-50k\n\nThis model is a fine-tuned version of meta-llama/Llama-2-7b-chat-hf on the generator dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information needed",
"## Trai... | [
"TAGS\n#trl #sft #generated_from_trainer #dataset-generator #base_model-meta-llama/Llama-2-7b-chat-hf #region-us \n",
"# llama-7b-chat-Toxic-50k\n\nThis model is a fine-tuned version of meta-llama/Llama-2-7b-chat-hf on the generator dataset.",
"## Model description\n\nMore information needed",
"## Intended us... | [
44,
45,
7,
9,
9,
4,
128,
5,
40
] | [
"TAGS\n#trl #sft #generated_from_trainer #dataset-generator #base_model-meta-llama/Llama-2-7b-chat-hf #region-us \n# llama-7b-chat-Toxic-50k\n\nThis model is a fine-tuned version of meta-llama/Llama-2-7b-chat-hf on the generator dataset.## Model description\n\nMore information needed## Intended uses & limitations\n... |
text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# distilbert-base-uncased_classification_finetuned_ptt_adptive
This model is a fine-tuned version of [distilbert/distilbert-base-u... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["f1"], "base_model": "distilbert/distilbert-base-uncased", "model-index": [{"name": "distilbert-base-uncased_classification_finetuned_ptt_adptive", "results": []}]} | Mou11209203/distilbert-base-uncased_classification_finetuned_ptt_adptive | null | [
"transformers",
"safetensors",
"distilbert",
"text-classification",
"generated_from_trainer",
"base_model:distilbert/distilbert-base-uncased",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-13T09:39:13+00:00 | [] | [] | TAGS
#transformers #safetensors #distilbert #text-classification #generated_from_trainer #base_model-distilbert/distilbert-base-uncased #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
| distilbert-base-uncased\_classification\_finetuned\_ptt\_adptive
================================================================
This model is a fine-tuned version of distilbert/distilbert-base-uncased on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.6438
* F1: 0.5210
Mod... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 3e-05\n* train\\_batch\\_size: 16\n* eval\\_batch\\_size: 16\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: cosine\n* lr\\_scheduler\\_warmup\\_steps... | [
"TAGS\n#transformers #safetensors #distilbert #text-classification #generated_from_trainer #base_model-distilbert/distilbert-base-uncased #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us \n",
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\... | [
60,
119,
5,
44
] | [
"TAGS\n#transformers #safetensors #distilbert #text-classification #generated_from_trainer #base_model-distilbert/distilbert-base-uncased #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us \n### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* lea... |
text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": ["trl", "sft"]} | Rutts07/generator-gemma-2b-it | null | [
"transformers",
"safetensors",
"gemma",
"text-generation",
"trl",
"sft",
"conversational",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"4-bit",
"region:us"
] | null | 2024-04-13T09:41:51+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #gemma #text-generation #trl #sft #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #4-bit #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Developed by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Model type: \n- Language(s)... | [
"TAGS\n#transformers #safetensors #gemma #text-generation #trl #sft #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #4-bit #region-us \n",
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transf... | [
56,
6,
4,
75,
23,
3,
5,
8,
9,
8,
34,
20,
4,
5,
5,
11,
13,
12,
3,
10,
6,
5,
6,
4,
5,
7,
49,
7,
7,
5,
5,
15,
7,
7,
8,
5
] | [
"TAGS\n#transformers #safetensors #gemma #text-generation #trl #sft #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #4-bit #region-us \n# Model Card for Model ID## Model Details### Model Description\n\n\n\nThis is the model card of a transformers model that ... |
null | null | Šta je Vivader gel?
Vivader Cena je topikalno rješenje posebno formulirano za ublažavanje simptoma psorijaze. Njegova napredna formula cilja na osnovne uzroke psorijaze, pružajući olakšanje od svraba, crvenila i ljuštenja povezanih sa stanjem. Za razliku od konvencionalnih tretmana, Vivader forum nudi holistički prist... | {"license": "apache-2.0"} | VivaderBosnia/VivaderBosnia | null | [
"license:apache-2.0",
"region:us"
] | null | 2024-04-13T09:42:11+00:00 | [] | [] | TAGS
#license-apache-2.0 #region-us
| Šta je Vivader gel?
Vivader Cena je topikalno rješenje posebno formulirano za ublažavanje simptoma psorijaze. Njegova napredna formula cilja na osnovne uzroke psorijaze, pružajući olakšanje od svraba, crvenila i ljuštenja povezanih sa stanjem. Za razliku od konvencionalnih tretmana, Vivader forum nudi holistički prist... | [] | [
"TAGS\n#license-apache-2.0 #region-us \n"
] | [
13
] | [
"TAGS\n#license-apache-2.0 #region-us \n"
] |
text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | Chat-Error/Not_CAI | null | [
"transformers",
"safetensors",
"llama",
"text-generation",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-13T09:42:12+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #llama #text-generation #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Developed by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Model type: \n- Language(s)... | [
"TAGS\n#transformers #safetensors #llama #text-generation #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed... | [
44,
6,
4,
75,
23,
3,
5,
8,
9,
8,
34,
20,
4,
5,
5,
11,
13,
12,
3,
10,
6,
5,
6,
4,
5,
7,
49,
7,
7,
5,
5,
15,
7,
7,
8,
5
] | [
"TAGS\n#transformers #safetensors #llama #text-generation #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n# Model Card for Model ID## Model Details### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This ... |
null | peft | ## Training procedure
The following `bitsandbytes` quantization config was used during training:
- load_in_8bit: False
- load_in_4bit: True
- llm_int8_threshold: 6.0
- llm_int8_skip_modules: None
- llm_int8_enable_fp32_cpu_offload: False
- llm_int8_has_fp16_weight: False
- bnb_4bit_quant_type: nf4
- bnb_4bit_use_doub... | {"library_name": "peft"} | NBA55/Final_llama2-7B-initial | null | [
"peft",
"region:us"
] | null | 2024-04-13T09:43:25+00:00 | [] | [] | TAGS
#peft #region-us
| ## Training procedure
The following 'bitsandbytes' quantization config was used during training:
- load_in_8bit: False
- load_in_4bit: True
- llm_int8_threshold: 6.0
- llm_int8_skip_modules: None
- llm_int8_enable_fp32_cpu_offload: False
- llm_int8_has_fp16_weight: False
- bnb_4bit_quant_type: nf4
- bnb_4bit_use_doub... | [
"## Training procedure\n\n\nThe following 'bitsandbytes' quantization config was used during training:\n- load_in_8bit: False\n- load_in_4bit: True\n- llm_int8_threshold: 6.0\n- llm_int8_skip_modules: None\n- llm_int8_enable_fp32_cpu_offload: False\n- llm_int8_has_fp16_weight: False\n- bnb_4bit_quant_type: nf4\n- b... | [
"TAGS\n#peft #region-us \n",
"## Training procedure\n\n\nThe following 'bitsandbytes' quantization config was used during training:\n- load_in_8bit: False\n- load_in_4bit: True\n- llm_int8_threshold: 6.0\n- llm_int8_skip_modules: None\n- llm_int8_enable_fp32_cpu_offload: False\n- llm_int8_has_fp16_weight: False\n... | [
8,
144,
13
] | [
"TAGS\n#peft #region-us \n## Training procedure\n\n\nThe following 'bitsandbytes' quantization config was used during training:\n- load_in_8bit: False\n- load_in_4bit: True\n- llm_int8_threshold: 6.0\n- llm_int8_skip_modules: None\n- llm_int8_enable_fp32_cpu_offload: False\n- llm_int8_has_fp16_weight: False\n- bnb_... |
null | null |
# Cran-May/Mistral-22B-v0.1-Q4_K_S-GGUF
This model was converted to GGUF format from [`Vezora/Mistral-22B-v0.1`](https://huggingface.co/Vezora/Mistral-22B-v0.1) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original model card](https://huggin... | {"license": "apache-2.0", "tags": ["llama-cpp", "gguf-my-repo"]} | Cran-May/Mistral-22B-v0.1-Q4_K_S-GGUF | null | [
"gguf",
"llama-cpp",
"gguf-my-repo",
"license:apache-2.0",
"region:us"
] | null | 2024-04-13T09:44:24+00:00 | [] | [] | TAGS
#gguf #llama-cpp #gguf-my-repo #license-apache-2.0 #region-us
|
# Cran-May/Mistral-22B-v0.1-Q4_K_S-GGUF
This model was converted to GGUF format from 'Vezora/Mistral-22B-v0.1' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
CLI:
Server:
N... | [
"# Cran-May/Mistral-22B-v0.1-Q4_K_S-GGUF\nThis model was converted to GGUF format from 'Vezora/Mistral-22B-v0.1' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
"## Use with URL\n\nInstall URL through brew.\n\n\nInvoke the URL server or the CLI.\n\nCL... | [
"TAGS\n#gguf #llama-cpp #gguf-my-repo #license-apache-2.0 #region-us \n",
"# Cran-May/Mistral-22B-v0.1-Q4_K_S-GGUF\nThis model was converted to GGUF format from 'Vezora/Mistral-22B-v0.1' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
"## Use with U... | [
32,
85,
52
] | [
"TAGS\n#gguf #llama-cpp #gguf-my-repo #license-apache-2.0 #region-us \n# Cran-May/Mistral-22B-v0.1-Q4_K_S-GGUF\nThis model was converted to GGUF format from 'Vezora/Mistral-22B-v0.1' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.## Use with URL\n\nInstal... |
text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | shallow6414/wc0gdxz | null | [
"transformers",
"safetensors",
"stablelm",
"text-generation",
"conversational",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-13T09:47:07+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #stablelm #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Developed by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Model type: \n- Language(s)... | [
"TAGS\n#transformers #safetensors #stablelm #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #region-us \n",
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the ... | [
41,
6,
4,
75,
23,
3,
5,
8,
9,
8,
34,
20,
4,
5,
5,
11,
13,
12,
3,
10,
6,
5,
6,
4,
5,
7,
49,
7,
7,
5,
5,
15,
7,
7,
8,
5
] | [
"TAGS\n#transformers #safetensors #stablelm #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #region-us \n# Model Card for Model ID## Model Details### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model ca... |
text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# pythia-70m-deduped-finetuned-github_cybersecurity_READMEs
This model is a fine-tuned version of [EleutherAI/pythia-70m-deduped](... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "EleutherAI/pythia-70m-deduped", "model-index": [{"name": "pythia-70m-deduped-finetuned-github_cybersecurity_READMEs", "results": []}]} | sickcell69/pythia-70m-deduped-finetuned-github_cybersecurity_READMEs | null | [
"transformers",
"tensorboard",
"safetensors",
"gpt_neox",
"text-generation",
"generated_from_trainer",
"base_model:EleutherAI/pythia-70m-deduped",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-13T09:49:51+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #gpt_neox #text-generation #generated_from_trainer #base_model-EleutherAI/pythia-70m-deduped #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| pythia-70m-deduped-finetuned-github\_cybersecurity\_READMEs
===========================================================
This model is a fine-tuned version of EleutherAI/pythia-70m-deduped on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 7.1003
* Accuracy: 0.0669
Model descri... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 3e-05\n* train\\_batch\\_size: 32\n* eval\\_batch\\_size: 32\n* seed: 42\n* gradient\\_accumulation\\_steps: 4\n* total\\_train\\_batch\\_size: 128\n* optimizer: Adam with betas=(0.9,0.999) and epsilo... | [
"TAGS\n#transformers #tensorboard #safetensors #gpt_neox #text-generation #generated_from_trainer #base_model-EleutherAI/pythia-70m-deduped #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
"### Training hyperparameters\n\n\nThe following hyperparameters we... | [
74,
140,
5,
47
] | [
"TAGS\n#transformers #tensorboard #safetensors #gpt_neox #text-generation #generated_from_trainer #base_model-EleutherAI/pythia-70m-deduped #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n### Training hyperparameters\n\n\nThe following hyperparameters were use... |
null | mlx |
# mlx-community/Mistral-22B-v0.2-4bit
This model was converted to MLX format from [`Vezora/Mistral-22B-v0.2`]() using mlx-lm version **0.4.0**.
Model added by [Prince Canuma](https://twitter.com/Prince_Canuma).
Refer to the [original model card](https://huggingface.co/Vezora/Mistral-22B-v0.2) for more details on the... | {"license": "apache-2.0", "tags": ["mlx"]} | mlx-community/Mistral-22B-v0.2-4bit | null | [
"mlx",
"safetensors",
"mistral",
"license:apache-2.0",
"region:us"
] | null | 2024-04-13T09:50:45+00:00 | [] | [] | TAGS
#mlx #safetensors #mistral #license-apache-2.0 #region-us
|
# mlx-community/Mistral-22B-v0.2-4bit
This model was converted to MLX format from ['Vezora/Mistral-22B-v0.2']() using mlx-lm version 0.4.0.
Model added by Prince Canuma.
Refer to the original model card for more details on the model.
## Use with mlx
| [
"# mlx-community/Mistral-22B-v0.2-4bit\nThis model was converted to MLX format from ['Vezora/Mistral-22B-v0.2']() using mlx-lm version 0.4.0.\n\nModel added by Prince Canuma.\n\nRefer to the original model card for more details on the model.",
"## Use with mlx"
] | [
"TAGS\n#mlx #safetensors #mistral #license-apache-2.0 #region-us \n",
"# mlx-community/Mistral-22B-v0.2-4bit\nThis model was converted to MLX format from ['Vezora/Mistral-22B-v0.2']() using mlx-lm version 0.4.0.\n\nModel added by Prince Canuma.\n\nRefer to the original model card for more details on the model.",
... | [
23,
81,
6
] | [
"TAGS\n#mlx #safetensors #mistral #license-apache-2.0 #region-us \n# mlx-community/Mistral-22B-v0.2-4bit\nThis model was converted to MLX format from ['Vezora/Mistral-22B-v0.2']() using mlx-lm version 0.4.0.\n\nModel added by Prince Canuma.\n\nRefer to the original model card for more details on the model.## Use wi... |
null | null |
# DavidAU/DarkForest-20B-v2.0-Q4_K_M-GGUF
This model was converted to GGUF format from [`TeeZee/DarkForest-20B-v2.0`](https://huggingface.co/TeeZee/DarkForest-20B-v2.0) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original model card](https:... | {"license": "other", "tags": ["merge", "not-for-all-audiences", "llama-cpp", "gguf-my-repo"], "license_name": "microsoft-research-license", "model-index": [{"name": "DarkForest-20B-v2.0", "results": [{"task": {"type": "text-generation", "name": "Text Generation"}, "dataset": {"name": "AI2 Reasoning Challenge (25-Shot)"... | DavidAU/DarkForest-20B-v2.0-Q4_K_M-GGUF | null | [
"gguf",
"merge",
"not-for-all-audiences",
"llama-cpp",
"gguf-my-repo",
"license:other",
"model-index",
"region:us"
] | null | 2024-04-13T09:51:00+00:00 | [] | [] | TAGS
#gguf #merge #not-for-all-audiences #llama-cpp #gguf-my-repo #license-other #model-index #region-us
|
# DavidAU/DarkForest-20B-v2.0-Q4_K_M-GGUF
This model was converted to GGUF format from 'TeeZee/DarkForest-20B-v2.0' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
CLI:
Server:... | [
"# DavidAU/DarkForest-20B-v2.0-Q4_K_M-GGUF\nThis model was converted to GGUF format from 'TeeZee/DarkForest-20B-v2.0' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
"## Use with URL\n\nInstall URL through brew.\n\n\nInvoke the URL server or the CLI.\... | [
"TAGS\n#gguf #merge #not-for-all-audiences #llama-cpp #gguf-my-repo #license-other #model-index #region-us \n",
"# DavidAU/DarkForest-20B-v2.0-Q4_K_M-GGUF\nThis model was converted to GGUF format from 'TeeZee/DarkForest-20B-v2.0' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for mo... | [
42,
84,
52
] | [
"TAGS\n#gguf #merge #not-for-all-audiences #llama-cpp #gguf-my-repo #license-other #model-index #region-us \n# DavidAU/DarkForest-20B-v2.0-Q4_K_M-GGUF\nThis model was converted to GGUF format from 'TeeZee/DarkForest-20B-v2.0' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more det... |
text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# distilbert-base-multilingual-cased_classification_finetuned_ptt_adptive
This model is a fine-tuned version of [distilbert/distil... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["f1"], "base_model": "distilbert/distilbert-base-multilingual-cased", "model-index": [{"name": "distilbert-base-multilingual-cased_classification_finetuned_ptt_adptive", "results": []}]} | Mou11209203/distilbert-base-multilingual-cased_classification_finetuned_ptt_adptive | null | [
"transformers",
"safetensors",
"distilbert",
"text-classification",
"generated_from_trainer",
"base_model:distilbert/distilbert-base-multilingual-cased",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-13T09:51:55+00:00 | [] | [] | TAGS
#transformers #safetensors #distilbert #text-classification #generated_from_trainer #base_model-distilbert/distilbert-base-multilingual-cased #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
| distilbert-base-multilingual-cased\_classification\_finetuned\_ptt\_adptive
===========================================================================
This model is a fine-tuned version of distilbert/distilbert-base-multilingual-cased on an unknown dataset.
It achieves the following results on the evaluation set:
... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 3e-05\n* train\\_batch\\_size: 16\n* eval\\_batch\\_size: 16\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: cosine\n* lr\\_scheduler\\_warmup\\_steps... | [
"TAGS\n#transformers #safetensors #distilbert #text-classification #generated_from_trainer #base_model-distilbert/distilbert-base-multilingual-cased #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us \n",
"### Training hyperparameters\n\n\nThe following hyperparameters were used during tra... | [
64,
119,
5,
44
] | [
"TAGS\n#transformers #safetensors #distilbert #text-classification #generated_from_trainer #base_model-distilbert/distilbert-base-multilingual-cased #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us \n### Training hyperparameters\n\n\nThe following hyperparameters were used during training:... |
null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | simonamdev/openai-whisper-medium-mt-PeftType.LORA | null | [
"transformers",
"safetensors",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-04-13T09:52:15+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Developed by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Model type: \n- Language(s)... | [
"TAGS\n#transformers #safetensors #arxiv-1910.09700 #endpoints_compatible #region-us \n",
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Devel... | [
26,
6,
4,
75,
23,
3,
5,
8,
9,
8,
34,
20,
4,
5,
5,
11,
13,
12,
3,
10,
6,
5,
6,
4,
5,
7,
49,
7,
7,
5,
5,
15,
7,
7,
8,
5
] | [
"TAGS\n#transformers #safetensors #arxiv-1910.09700 #endpoints_compatible #region-us \n# Model Card for Model ID## Model Details### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Developed by: \n- Funde... |
text-to-image | diffusers |
# API Inference
## Get API Key
Get API key from [ModelsLab API](http://modelslab.com), No Payment needed.
Replace Key in below code, change **model_id** to "protovision-xl-v6.6"
Coding in ... | {"license": "creativeml-openrail-m", "tags": ["modelslab.com", "stable-diffusion-api", "text-to-image", "ultra-realistic"], "pinned": true} | stablediffusionapi/protovision-xl-v6.6 | null | [
"diffusers",
"modelslab.com",
"stable-diffusion-api",
"text-to-image",
"ultra-realistic",
"license:creativeml-openrail-m",
"endpoints_compatible",
"diffusers:StableDiffusionXLPipeline",
"region:us"
] | null | 2024-04-13T09:52:35+00:00 | [] | [] | TAGS
#diffusers #modelslab.com #stable-diffusion-api #text-to-image #ultra-realistic #license-creativeml-openrail-m #endpoints_compatible #diffusers-StableDiffusionXLPipeline #region-us
|
# API Inference
!generated from URL
## Get API Key
Get API key from ModelsLab API, No Payment needed.
Replace Key in below code, change model_id to "protovision-xl-v6.6"
Coding in PHP/Node/Java etc? Have a look at docs for more code examples: View docs
Try model for free: Generate Images
Model link: View mode... | [
"# API Inference\n\n!generated from URL",
"## Get API Key\n\nGet API key from ModelsLab API, No Payment needed. \n\nReplace Key in below code, change model_id to \"protovision-xl-v6.6\"\n\nCoding in PHP/Node/Java etc? Have a look at docs for more code examples: View docs\n\nTry model for free: Generate Images\n... | [
"TAGS\n#diffusers #modelslab.com #stable-diffusion-api #text-to-image #ultra-realistic #license-creativeml-openrail-m #endpoints_compatible #diffusers-StableDiffusionXLPipeline #region-us \n",
"# API Inference\n\n!generated from URL",
"## Get API Key\n\nGet API key from ModelsLab API, No Payment needed. \n\nRe... | [
56,
8,
517
] | [
"TAGS\n#diffusers #modelslab.com #stable-diffusion-api #text-to-image #ultra-realistic #license-creativeml-openrail-m #endpoints_compatible #diffusers-StableDiffusionXLPipeline #region-us \n# API Inference\n\n!generated from URL## Get API Key\n\nGet API key from ModelsLab API, No Payment needed. \n\nReplace Key in... |
null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# llama-sft-qat
This model is a fine-tuned version of [meta-llama/Llama-2-7b-chat-hf](https://huggingface.co/meta-llama/Llama-2-7b... | {"license": "llama2", "library_name": "peft", "tags": ["trl", "sft", "alignment-handbook", "generated_from_trainer"], "base_model": "meta-llama/Llama-2-7b-chat-hf", "model-index": [{"name": "llama-sft-qat", "results": []}]} | chanchan7/llama-sft-qat | null | [
"peft",
"tensorboard",
"safetensors",
"llama",
"trl",
"sft",
"alignment-handbook",
"generated_from_trainer",
"base_model:meta-llama/Llama-2-7b-chat-hf",
"license:llama2",
"4-bit",
"region:us"
] | null | 2024-04-13T09:54:08+00:00 | [] | [] | TAGS
#peft #tensorboard #safetensors #llama #trl #sft #alignment-handbook #generated_from_trainer #base_model-meta-llama/Llama-2-7b-chat-hf #license-llama2 #4-bit #region-us
| llama-sft-qat
=============
This model is a fine-tuned version of meta-llama/Llama-2-7b-chat-hf on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1851
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
M... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0002\n* train\\_batch\\_size: 3\n* eval\\_batch\\_size: 24\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: cosine\n* lr\\_scheduler\\_warmup\\_ratio... | [
"TAGS\n#peft #tensorboard #safetensors #llama #trl #sft #alignment-handbook #generated_from_trainer #base_model-meta-llama/Llama-2-7b-chat-hf #license-llama2 #4-bit #region-us \n",
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0002\n* train\\... | [
66,
132,
5,
52
] | [
"TAGS\n#peft #tensorboard #safetensors #llama #trl #sft #alignment-handbook #generated_from_trainer #base_model-meta-llama/Llama-2-7b-chat-hf #license-llama2 #4-bit #region-us \n### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0002\n* train\\_batch... |
text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# 0.0001_idpo_same_3iters_iter_3
This model is a fine-tuned version of [ShenaoZ/0.0001_idpo_same_3iters_iter_2](https://huggingfac... | {"license": "mit", "tags": ["alignment-handbook", "generated_from_trainer", "trl", "dpo", "generated_from_trainer"], "datasets": ["updated", "original"], "base_model": "ShenaoZ/0.0001_idpo_same_3iters_iter_2", "model-index": [{"name": "0.0001_idpo_same_3iters_iter_3", "results": []}]} | ShenaoZ/0.0001_idpo_same_3iters_iter_3 | null | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"alignment-handbook",
"generated_from_trainer",
"trl",
"dpo",
"conversational",
"dataset:updated",
"dataset:original",
"base_model:ShenaoZ/0.0001_idpo_same_3iters_iter_2",
"license:mit",
"autotrain_compatible",
"endpoints_compa... | null | 2024-04-13T09:54:12+00:00 | [] | [] | TAGS
#transformers #safetensors #mistral #text-generation #alignment-handbook #generated_from_trainer #trl #dpo #conversational #dataset-updated #dataset-original #base_model-ShenaoZ/0.0001_idpo_same_3iters_iter_2 #license-mit #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# 0.0001_idpo_same_3iters_iter_3
This model is a fine-tuned version of ShenaoZ/0.0001_idpo_same_3iters_iter_2 on the updated and the original datasets.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
#... | [
"# 0.0001_idpo_same_3iters_iter_3\n\nThis model is a fine-tuned version of ShenaoZ/0.0001_idpo_same_3iters_iter_2 on the updated and the original datasets.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore... | [
"TAGS\n#transformers #safetensors #mistral #text-generation #alignment-handbook #generated_from_trainer #trl #dpo #conversational #dataset-updated #dataset-original #base_model-ShenaoZ/0.0001_idpo_same_3iters_iter_2 #license-mit #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
... | [
94,
60,
7,
9,
9,
4,
155,
5,
44
] | [
"TAGS\n#transformers #safetensors #mistral #text-generation #alignment-handbook #generated_from_trainer #trl #dpo #conversational #dataset-updated #dataset-original #base_model-ShenaoZ/0.0001_idpo_same_3iters_iter_2 #license-mit #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n# 0... |
text-classification | transformers | ## Model description
- This model is trained on tweets from wildfire events between 2017 and 2021
- This model is based on [CrisisTransformer ](https://huggingface.co/crisistransformers/CT-M2-Complete) architecture
## Intended uses & limitations
The model is mostly intended to be used for inference of wildfire tweet... | {"language": ["en"]} | Sabreen88/wildfire-CrisisT | null | [
"transformers",
"safetensors",
"roberta",
"text-classification",
"en",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-13T09:54:18+00:00 | [] | [
"en"
] | TAGS
#transformers #safetensors #roberta #text-classification #en #autotrain_compatible #endpoints_compatible #region-us
| ## Model description
- This model is trained on tweets from wildfire events between 2017 and 2021
- This model is based on CrisisTransformer architecture
## Intended uses & limitations
The model is mostly intended to be used for inference of wildfire tweets to detect the urgency of the tweet.
Note that this model ... | [
"## Model description\n\n- This model is trained on tweets from wildfire events between 2017 and 2021\n- This model is based on CrisisTransformer architecture",
"## Intended uses & limitations\n\nThe model is mostly intended to be used for inference of wildfire tweets to detect the urgency of the tweet.\n\nNote ... | [
"TAGS\n#transformers #safetensors #roberta #text-classification #en #autotrain_compatible #endpoints_compatible #region-us \n",
"## Model description\n\n- This model is trained on tweets from wildfire events between 2017 and 2021\n- This model is based on CrisisTransformer architecture",
"## Intended uses & li... | [
29,
33,
63,
3
] | [
"TAGS\n#transformers #safetensors #roberta #text-classification #en #autotrain_compatible #endpoints_compatible #region-us \n## Model description\n\n- This model is trained on tweets from wildfire events between 2017 and 2021\n- This model is based on CrisisTransformer architecture## Intended uses & limitations\n\... |
null | null |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# flan-t5-xl-absa-laptops
This model is a fine-tuned version of [ybelkada/flan-t5-xl-sharded-bf16](https://huggingface.co/ybelkada... | {"tags": ["generated_from_trainer"], "base_model": "ybelkada/flan-t5-xl-sharded-bf16", "model-index": [{"name": "flan-t5-xl-absa-laptops", "results": []}]} | Shakhovak/flan-t5-xl-absa-laptops | null | [
"generated_from_trainer",
"base_model:ybelkada/flan-t5-xl-sharded-bf16",
"region:us"
] | null | 2024-04-13T10:00:45+00:00 | [] | [] | TAGS
#generated_from_trainer #base_model-ybelkada/flan-t5-xl-sharded-bf16 #region-us
| flan-t5-xl-absa-laptops
=======================
This model is a fine-tuned version of ybelkada/flan-t5-xl-sharded-bf16 on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1812
Model description
-----------------
More information needed
Intended uses & limitations
--------... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 16\n* eval\\_batch\\_size: 16\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* lr\\_scheduler\\_warmup\\_ratio... | [
"TAGS\n#generated_from_trainer #base_model-ybelkada/flan-t5-xl-sharded-bf16 #region-us \n",
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 16\n* eval\\_batch\\_size: 16\n* seed: 42\n* optimizer: Adam with betas=(0.... | [
35,
119,
5,
44
] | [
"TAGS\n#generated_from_trainer #base_model-ybelkada/flan-t5-xl-sharded-bf16 #region-us \n### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 16\n* eval\\_batch\\_size: 16\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.99... |
text-generation | transformers |
# Model Card for Model ID
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
MoM: Mixture of Mixture
This Model is a first test to combine [Jamba](https://huggingface.co/ai21labs/Jamba-v0.1) architecture with 1.58 bits linear layers, mixture of attention head and mixtu... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["moe", "moah", "mod"], "datasets": ["Locutusque/UltraTextbooks"]} | Ostixe360/MoM-1.58bits-1B | null | [
"transformers",
"safetensors",
"text-generation",
"moe",
"moah",
"mod",
"en",
"dataset:Locutusque/UltraTextbooks",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-13T10:02:39+00:00 | [] | [
"en"
] | TAGS
#transformers #safetensors #text-generation #moe #moah #mod #en #dataset-Locutusque/UltraTextbooks #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
MoM: Mixture of Mixture
This Model is a first test to combine Jamba architecture with 1.58 bits linear layers, mixture of attention head and mixture of depth.
The goal is to developpe and test if this kind of architectures have not too much qualit... | [
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nMoM: Mixture of Mixture\n\nThis Model is a first test to combine Jamba architecture with 1.58 bits linear layers, mixture of attention head and mixture of depth.\n\nThe goal is to developpe and test if this kind of architectures have... | [
"TAGS\n#transformers #safetensors #text-generation #moe #moah #mod #en #dataset-Locutusque/UltraTextbooks #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us \n",
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nMoM: Mixture of Mixture\n\nThis Model is a fi... | [
54,
6,
4,
92,
13,
25,
4,
25,
18,
25,
21,
7,
5,
12,
13
] | [
"TAGS\n#transformers #safetensors #text-generation #moe #moah #mod #en #dataset-Locutusque/UltraTextbooks #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us \n# Model Card for Model ID## Model Details### Model Description\n\n\n\nMoM: Mixture of Mixture\n\nThis Model is a first test to combin... |
null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | binhK/mistral-7b-instv0.2-v0.1 | null | [
"transformers",
"safetensors",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-04-13T10:03:14+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Developed by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Model type: \n- Language(s)... | [
"TAGS\n#transformers #safetensors #arxiv-1910.09700 #endpoints_compatible #region-us \n",
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Devel... | [
26,
6,
4,
75,
23,
3,
5,
8,
9,
8,
34,
20,
4,
5,
5,
11,
13,
12,
3,
10,
6,
5,
6,
4,
5,
7,
49,
7,
7,
5,
5,
15,
7,
7,
8,
5
] | [
"TAGS\n#transformers #safetensors #arxiv-1910.09700 #endpoints_compatible #region-us \n# Model Card for Model ID## Model Details### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Developed by: \n- Funde... |
null | null |
# DavidAU/DarkForest-20B-v1.0-Q4_K_M-GGUF
This model was converted to GGUF format from [`TeeZee/DarkForest-20B-v1.0`](https://huggingface.co/TeeZee/DarkForest-20B-v1.0) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original model card](https:... | {"license": "other", "tags": ["merge", "not-for-all-audiences", "llama-cpp", "gguf-my-repo"], "license_name": "microsoft-research-license"} | DavidAU/DarkForest-20B-v1.0-Q4_K_M-GGUF | null | [
"gguf",
"merge",
"not-for-all-audiences",
"llama-cpp",
"gguf-my-repo",
"license:other",
"region:us"
] | null | 2024-04-13T10:03:16+00:00 | [] | [] | TAGS
#gguf #merge #not-for-all-audiences #llama-cpp #gguf-my-repo #license-other #region-us
|
# DavidAU/DarkForest-20B-v1.0-Q4_K_M-GGUF
This model was converted to GGUF format from 'TeeZee/DarkForest-20B-v1.0' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
CLI:
Server:... | [
"# DavidAU/DarkForest-20B-v1.0-Q4_K_M-GGUF\nThis model was converted to GGUF format from 'TeeZee/DarkForest-20B-v1.0' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
"## Use with URL\n\nInstall URL through brew.\n\n\nInvoke the URL server or the CLI.\... | [
"TAGS\n#gguf #merge #not-for-all-audiences #llama-cpp #gguf-my-repo #license-other #region-us \n",
"# DavidAU/DarkForest-20B-v1.0-Q4_K_M-GGUF\nThis model was converted to GGUF format from 'TeeZee/DarkForest-20B-v1.0' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on... | [
38,
84,
52
] | [
"TAGS\n#gguf #merge #not-for-all-audiences #llama-cpp #gguf-my-repo #license-other #region-us \n# DavidAU/DarkForest-20B-v1.0-Q4_K_M-GGUF\nThis model was converted to GGUF format from 'TeeZee/DarkForest-20B-v1.0' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the m... |
image-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# Psoriasis-Project-M-vit-large-patch16-224-in21k
This model is a fine-tuned version of [google/vit-large-patch16-224-in21k](https... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "google/vit-large-patch16-224-in21k", "model-index": [{"name": "Psoriasis-Project-M-vit-large-patch16-224-in21k", "results": []}]} | ahmedesmail16/Psoriasis-Project-M-vit-large-patch16-224-in21k | null | [
"transformers",
"tensorboard",
"safetensors",
"vit",
"image-classification",
"generated_from_trainer",
"base_model:google/vit-large-patch16-224-in21k",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-13T10:04:15+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #vit #image-classification #generated_from_trainer #base_model-google/vit-large-patch16-224-in21k #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
| Psoriasis-Project-M-vit-large-patch16-224-in21k
===============================================
This model is a fine-tuned version of google/vit-large-patch16-224-in21k on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.2704
* Accuracy: 0.9375
Model description
-------------... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 16\n* eval\\_batch\\_size: 16\n* seed: 42\n* gradient\\_accumulation\\_steps: 4\n* total\\_train\\_batch\\_size: 64\n* optimizer: Adam with betas=(0.9,0.999) and epsilon... | [
"TAGS\n#transformers #tensorboard #safetensors #vit #image-classification #generated_from_trainer #base_model-google/vit-large-patch16-224-in21k #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us \n",
"### Training hyperparameters\n\n\nThe following hyperparameters were used during trainin... | [
65,
142,
5,
40
] | [
"TAGS\n#transformers #tensorboard #safetensors #vit #image-classification #generated_from_trainer #base_model-google/vit-large-patch16-224-in21k #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us \n### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n... |
reinforcement-learning | null |
# **Q-Learning** Agent playing1 **FrozenLake-v1**
This is a trained model of a **Q-Learning** agent playing **FrozenLake-v1** .
## Usage
```python
model = load_from_hub(repo_id="Frankhuhu/q-FrozenLake-v1-4x4-noSlippery", filename="q-learning.pkl")
# Don't forget to check if you need to add additional a... | {"tags": ["FrozenLake-v1-4x4-no_slippery", "q-learning", "reinforcement-learning", "custom-implementation"], "model-index": [{"name": "q-FrozenLake-v1-4x4-noSlippery", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "FrozenLake-v1-4x4-no_slippery", "type": ... | Frankhuhu/q-FrozenLake-v1-4x4-noSlippery | null | [
"FrozenLake-v1-4x4-no_slippery",
"q-learning",
"reinforcement-learning",
"custom-implementation",
"model-index",
"region:us"
] | null | 2024-04-13T10:04:35+00:00 | [] | [] | TAGS
#FrozenLake-v1-4x4-no_slippery #q-learning #reinforcement-learning #custom-implementation #model-index #region-us
|
# Q-Learning Agent playing1 FrozenLake-v1
This is a trained model of a Q-Learning agent playing FrozenLake-v1 .
## Usage
| [
"# Q-Learning Agent playing1 FrozenLake-v1\n This is a trained model of a Q-Learning agent playing FrozenLake-v1 .\n\n ## Usage"
] | [
"TAGS\n#FrozenLake-v1-4x4-no_slippery #q-learning #reinforcement-learning #custom-implementation #model-index #region-us \n",
"# Q-Learning Agent playing1 FrozenLake-v1\n This is a trained model of a Q-Learning agent playing FrozenLake-v1 .\n\n ## Usage"
] | [
35,
33
] | [
"TAGS\n#FrozenLake-v1-4x4-no_slippery #q-learning #reinforcement-learning #custom-implementation #model-index #region-us \n# Q-Learning Agent playing1 FrozenLake-v1\n This is a trained model of a Q-Learning agent playing FrozenLake-v1 .\n\n ## Usage"
] |
null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | bakch92/bloomz-peft-prompt-tunning | null | [
"transformers",
"safetensors",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-04-13T10:05:15+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Developed by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Model type: \n- Language(s)... | [
"TAGS\n#transformers #safetensors #arxiv-1910.09700 #endpoints_compatible #region-us \n",
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Devel... | [
26,
6,
4,
75,
23,
3,
5,
8,
9,
8,
34,
20,
4,
5,
5,
11,
13,
12,
3,
10,
6,
5,
6,
4,
5,
7,
49,
7,
7,
5,
5,
15,
7,
7,
8,
5
] | [
"TAGS\n#transformers #safetensors #arxiv-1910.09700 #endpoints_compatible #region-us \n# Model Card for Model ID## Model Details### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Developed by: \n- Funde... |
text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# 0.0_dataup_noreplacerej_40g_bs2_iter_3
This model is a fine-tuned version of [ZhangShenao/0.0_dataup_noreplacerej_40g_bs2_iter_2... | {"license": "mit", "tags": ["alignment-handbook", "generated_from_trainer", "trl", "dpo", "generated_from_trainer"], "datasets": ["ZhangShenao/0.0_dataup_noreplacerej_40g_bs2_dataset"], "base_model": "ZhangShenao/0.0_dataup_noreplacerej_40g_bs2_iter_2", "model-index": [{"name": "0.0_dataup_noreplacerej_40g_bs2_iter_3",... | ZhangShenao/0.0_dataup_noreplacerej_40g_bs2_iter_3 | null | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"alignment-handbook",
"generated_from_trainer",
"trl",
"dpo",
"conversational",
"dataset:ZhangShenao/0.0_dataup_noreplacerej_40g_bs2_dataset",
"base_model:ZhangShenao/0.0_dataup_noreplacerej_40g_bs2_iter_2",
"license:mit",
"autotra... | null | 2024-04-13T10:08:58+00:00 | [] | [] | TAGS
#transformers #safetensors #mistral #text-generation #alignment-handbook #generated_from_trainer #trl #dpo #conversational #dataset-ZhangShenao/0.0_dataup_noreplacerej_40g_bs2_dataset #base_model-ZhangShenao/0.0_dataup_noreplacerej_40g_bs2_iter_2 #license-mit #autotrain_compatible #endpoints_compatible #text-gener... |
# 0.0_dataup_noreplacerej_40g_bs2_iter_3
This model is a fine-tuned version of ZhangShenao/0.0_dataup_noreplacerej_40g_bs2_iter_2 on the ZhangShenao/0.0_dataup_noreplacerej_40g_bs2_dataset dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training a... | [
"# 0.0_dataup_noreplacerej_40g_bs2_iter_3\n\nThis model is a fine-tuned version of ZhangShenao/0.0_dataup_noreplacerej_40g_bs2_iter_2 on the ZhangShenao/0.0_dataup_noreplacerej_40g_bs2_dataset dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information neede... | [
"TAGS\n#transformers #safetensors #mistral #text-generation #alignment-handbook #generated_from_trainer #trl #dpo #conversational #dataset-ZhangShenao/0.0_dataup_noreplacerej_40g_bs2_dataset #base_model-ZhangShenao/0.0_dataup_noreplacerej_40g_bs2_iter_2 #license-mit #autotrain_compatible #endpoints_compatible #text... | [
120,
92,
7,
9,
9,
4,
155,
5,
44
] | [
"TAGS\n#transformers #safetensors #mistral #text-generation #alignment-handbook #generated_from_trainer #trl #dpo #conversational #dataset-ZhangShenao/0.0_dataup_noreplacerej_40g_bs2_dataset #base_model-ZhangShenao/0.0_dataup_noreplacerej_40g_bs2_iter_2 #license-mit #autotrain_compatible #endpoints_compatible #text... |
question-answering | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# Electra-finetuned-ChennaiQA-final
This model is a fine-tuned version of [google/electra-base-discriminator](https://huggingface.... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "google/electra-base-discriminator", "model-index": [{"name": "Albert-finetuned-ChennaiQA-final", "results": []}]} | aditi2212/Electra-finetuned-ChennaiQA-final | null | [
"transformers",
"tensorboard",
"safetensors",
"electra",
"question-answering",
"generated_from_trainer",
"base_model:google/electra-base-discriminator",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2024-04-13T10:10:21+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #electra #question-answering #generated_from_trainer #base_model-google/electra-base-discriminator #license-apache-2.0 #endpoints_compatible #region-us
|
# Electra-finetuned-ChennaiQA-final
This model is a fine-tuned version of google/electra-base-discriminator on the None dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
#... | [
"# Electra-finetuned-ChennaiQA-final\n\nThis model is a fine-tuned version of google/electra-base-discriminator on the None dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information needed",
... | [
"TAGS\n#transformers #tensorboard #safetensors #electra #question-answering #generated_from_trainer #base_model-google/electra-base-discriminator #license-apache-2.0 #endpoints_compatible #region-us \n",
"# Electra-finetuned-ChennaiQA-final\n\nThis model is a fine-tuned version of google/electra-base-discriminato... | [
55,
37,
7,
9,
9,
4,
93,
5,
44
] | [
"TAGS\n#transformers #tensorboard #safetensors #electra #question-answering #generated_from_trainer #base_model-google/electra-base-discriminator #license-apache-2.0 #endpoints_compatible #region-us \n# Electra-finetuned-ChennaiQA-final\n\nThis model is a fine-tuned version of google/electra-base-discriminator on t... |
null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | eix9mm/llm_pr_model_5 | null | [
"transformers",
"safetensors",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-04-13T10:10:23+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Developed by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Model type: \n- Language(s)... | [
"TAGS\n#transformers #safetensors #arxiv-1910.09700 #endpoints_compatible #region-us \n",
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Devel... | [
26,
6,
4,
75,
23,
3,
5,
8,
9,
8,
34,
20,
4,
5,
5,
11,
13,
12,
3,
10,
6,
5,
6,
4,
5,
7,
49,
7,
7,
5,
5,
15,
7,
7,
8,
5
] | [
"TAGS\n#transformers #safetensors #arxiv-1910.09700 #endpoints_compatible #region-us \n# Model Card for Model ID## Model Details### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Developed by: \n- Funde... |
reinforcement-learning | null |
# **Q-Learning** Agent playing1 **Taxi-v3**
This is a trained model of a **Q-Learning** agent playing **Taxi-v3** .
## Usage
```python
model = load_from_hub(repo_id="Frankhuhu/Taxi-V3", filename="q-learning.pkl")
# Don't forget to check if you need to add additional attributes (is_slippery=False etc)
... | {"tags": ["Taxi-v3", "q-learning", "reinforcement-learning", "custom-implementation"], "model-index": [{"name": "Taxi-V3", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "Taxi-v3", "type": "Taxi-v3"}, "metrics": [{"type": "mean_reward", "value": "7.50 +/- ... | Frankhuhu/Taxi-V3 | null | [
"Taxi-v3",
"q-learning",
"reinforcement-learning",
"custom-implementation",
"model-index",
"region:us"
] | null | 2024-04-13T10:11:05+00:00 | [] | [] | TAGS
#Taxi-v3 #q-learning #reinforcement-learning #custom-implementation #model-index #region-us
|
# Q-Learning Agent playing1 Taxi-v3
This is a trained model of a Q-Learning agent playing Taxi-v3 .
## Usage
| [
"# Q-Learning Agent playing1 Taxi-v3\n This is a trained model of a Q-Learning agent playing Taxi-v3 .\n\n ## Usage"
] | [
"TAGS\n#Taxi-v3 #q-learning #reinforcement-learning #custom-implementation #model-index #region-us \n",
"# Q-Learning Agent playing1 Taxi-v3\n This is a trained model of a Q-Learning agent playing Taxi-v3 .\n\n ## Usage"
] | [
26,
31
] | [
"TAGS\n#Taxi-v3 #q-learning #reinforcement-learning #custom-implementation #model-index #region-us \n# Q-Learning Agent playing1 Taxi-v3\n This is a trained model of a Q-Learning agent playing Taxi-v3 .\n\n ## Usage"
] |
reinforcement-learning | stable-baselines3 |
# **PPO** Agent playing **LunarLander-v2**
This is a trained model of a **PPO** agent playing **LunarLander-v2**
using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3).
## Usage (with Stable-baselines3)
TODO: Add your code
```python
from stable_baselines3 import ...
from huggingface_sb3 ... | {"library_name": "stable-baselines3", "tags": ["LunarLander-v2", "deep-reinforcement-learning", "reinforcement-learning", "stable-baselines3"], "model-index": [{"name": "PPO", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "LunarLander-v2", "type": "LunarL... | fxnta10/ppo-LunarLander-v2 | null | [
"stable-baselines3",
"LunarLander-v2",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | null | 2024-04-13T10:11:57+00:00 | [] | [] | TAGS
#stable-baselines3 #LunarLander-v2 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
# PPO Agent playing LunarLander-v2
This is a trained model of a PPO agent playing LunarLander-v2
using the stable-baselines3 library.
## Usage (with Stable-baselines3)
TODO: Add your code
| [
"# PPO Agent playing LunarLander-v2\nThis is a trained model of a PPO agent playing LunarLander-v2\nusing the stable-baselines3 library.",
"## Usage (with Stable-baselines3)\nTODO: Add your code"
] | [
"TAGS\n#stable-baselines3 #LunarLander-v2 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us \n",
"# PPO Agent playing LunarLander-v2\nThis is a trained model of a PPO agent playing LunarLander-v2\nusing the stable-baselines3 library.",
"## Usage (with Stable-baselines3)\nTODO: Add you... | [
31,
35,
17
] | [
"TAGS\n#stable-baselines3 #LunarLander-v2 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us \n# PPO Agent playing LunarLander-v2\nThis is a trained model of a PPO agent playing LunarLander-v2\nusing the stable-baselines3 library.## Usage (with Stable-baselines3)\nTODO: Add your code"
] |
text-generation | transformers | # GreenBit LLMs
This is GreenBitAI's pretrained **low-bit** LLMs with extreme compression yet still strong performance.
Please refer to our [Github page](https://github.com/GreenBitAI/green-bit-llm) for the code to run the model and more information.
### Zero-shot Evaluation
We evaluate the zero-shot ability of low... | {"license": "apache-2.0"} | GreenBitAI/Qwen-1.5-4B-Chat-layer-mix-bpw-3.0 | null | [
"transformers",
"safetensors",
"qwen2",
"text-generation",
"conversational",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-13T10:12:48+00:00 | [] | [] | TAGS
#transformers #safetensors #qwen2 #text-generation #conversational #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| GreenBit LLMs
=============
This is GreenBitAI's pretrained low-bit LLMs with extreme compression yet still strong performance.
Please refer to our Github page for the code to run the model and more information.
### Zero-shot Evaluation
We evaluate the zero-shot ability of low-bit quantized Qwen1.5 models using... | [
"### Zero-shot Evaluation\n\n\nWe evaluate the zero-shot ability of low-bit quantized Qwen1.5 models using the 'llm\\_eval' library and list the results below:"
] | [
"TAGS\n#transformers #safetensors #qwen2 #text-generation #conversational #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
"### Zero-shot Evaluation\n\n\nWe evaluate the zero-shot ability of low-bit quantized Qwen1.5 models using the 'llm\\_eval' library a... | [
46,
43
] | [
"TAGS\n#transformers #safetensors #qwen2 #text-generation #conversational #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n### Zero-shot Evaluation\n\n\nWe evaluate the zero-shot ability of low-bit quantized Qwen1.5 models using the 'llm\\_eval' library and lis... |
text-generation | transformers | # GreenBit LLMs
This is GreenBitAI's pretrained **low-bit** LLMs with extreme compression yet still strong performance.
Please refer to our [Github page](https://github.com/GreenBitAI/green-bit-llm) for the code to run the model and more information.
| {"license": "apache-2.0"} | GreenBitAI/Qwen-1.5-4B-Chat-layer-mix-bpw-2.5 | null | [
"transformers",
"safetensors",
"qwen2",
"text-generation",
"conversational",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-13T10:12:59+00:00 | [] | [] | TAGS
#transformers #safetensors #qwen2 #text-generation #conversational #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| # GreenBit LLMs
This is GreenBitAI's pretrained low-bit LLMs with extreme compression yet still strong performance.
Please refer to our Github page for the code to run the model and more information.
| [
"# GreenBit LLMs\n\nThis is GreenBitAI's pretrained low-bit LLMs with extreme compression yet still strong performance.\n\nPlease refer to our Github page for the code to run the model and more information."
] | [
"TAGS\n#transformers #safetensors #qwen2 #text-generation #conversational #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
"# GreenBit LLMs\n\nThis is GreenBitAI's pretrained low-bit LLMs with extreme compression yet still strong performance.\n\nPlease ref... | [
46,
47
] | [
"TAGS\n#transformers #safetensors #qwen2 #text-generation #conversational #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n# GreenBit LLMs\n\nThis is GreenBitAI's pretrained low-bit LLMs with extreme compression yet still strong performance.\n\nPlease refer to ... |
text-generation | transformers | # GreenBit LLMs
This is GreenBitAI's pretrained **low-bit** LLMs with extreme compression yet still strong performance.
Please refer to our [Github page](https://github.com/GreenBitAI/green-bit-llm) for the code to run the model and more information.
| {"license": "apache-2.0"} | GreenBitAI/Qwen-1.5-4B-Chat-layer-mix-bpw-2.2 | null | [
"transformers",
"safetensors",
"qwen2",
"text-generation",
"conversational",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-13T10:13:05+00:00 | [] | [] | TAGS
#transformers #safetensors #qwen2 #text-generation #conversational #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| # GreenBit LLMs
This is GreenBitAI's pretrained low-bit LLMs with extreme compression yet still strong performance.
Please refer to our Github page for the code to run the model and more information.
| [
"# GreenBit LLMs\n\nThis is GreenBitAI's pretrained low-bit LLMs with extreme compression yet still strong performance.\n\nPlease refer to our Github page for the code to run the model and more information."
] | [
"TAGS\n#transformers #safetensors #qwen2 #text-generation #conversational #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
"# GreenBit LLMs\n\nThis is GreenBitAI's pretrained low-bit LLMs with extreme compression yet still strong performance.\n\nPlease ref... | [
46,
47
] | [
"TAGS\n#transformers #safetensors #qwen2 #text-generation #conversational #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n# GreenBit LLMs\n\nThis is GreenBitAI's pretrained low-bit LLMs with extreme compression yet still strong performance.\n\nPlease refer to ... |
null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# h2o-danube2-1.8b-text-to-sql
This model is a fine-tuned version of [h2oai/h2o-danube2-1.8b-base](https://huggingface.co/h2oai/h2... | {"license": "apache-2.0", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "datasets": ["generator"], "base_model": "h2oai/h2o-danube2-1.8b-base", "model-index": [{"name": "h2o-danube2-1.8b-text-to-sql", "results": []}]} | DuongTrongChi/h2o-danube2-1.8b-text-to-sql | null | [
"peft",
"tensorboard",
"safetensors",
"trl",
"sft",
"generated_from_trainer",
"dataset:generator",
"base_model:h2oai/h2o-danube2-1.8b-base",
"license:apache-2.0",
"region:us"
] | null | 2024-04-13T10:16:41+00:00 | [] | [] | TAGS
#peft #tensorboard #safetensors #trl #sft #generated_from_trainer #dataset-generator #base_model-h2oai/h2o-danube2-1.8b-base #license-apache-2.0 #region-us
|
# h2o-danube2-1.8b-text-to-sql
This model is a fine-tuned version of h2oai/h2o-danube2-1.8b-base on the generator dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Tra... | [
"# h2o-danube2-1.8b-text-to-sql\n\nThis model is a fine-tuned version of h2oai/h2o-danube2-1.8b-base on the generator dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information needed",
"## T... | [
"TAGS\n#peft #tensorboard #safetensors #trl #sft #generated_from_trainer #dataset-generator #base_model-h2oai/h2o-danube2-1.8b-base #license-apache-2.0 #region-us \n",
"# h2o-danube2-1.8b-text-to-sql\n\nThis model is a fine-tuned version of h2oai/h2o-danube2-1.8b-base on the generator dataset.",
"## Model descr... | [
63,
51,
7,
9,
9,
4,
126,
5,
55
] | [
"TAGS\n#peft #tensorboard #safetensors #trl #sft #generated_from_trainer #dataset-generator #base_model-h2oai/h2o-danube2-1.8b-base #license-apache-2.0 #region-us \n# h2o-danube2-1.8b-text-to-sql\n\nThis model is a fine-tuned version of h2oai/h2o-danube2-1.8b-base on the generator dataset.## Model description\n\nMo... |
text-generation | transformers | # merge
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* [cognitivecomputations/dolphin-2.8-mistral-7... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["cognitivecomputations/dolphin-2.8-mistral-7b-v02", "arcee-ai/sec-mistral-7b-instruct-1.6-epoch"]} | mergekit-community/mergekit-slerp-vhzhpmg | null | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"mergekit",
"merge",
"conversational",
"base_model:cognitivecomputations/dolphin-2.8-mistral-7b-v02",
"base_model:arcee-ai/sec-mistral-7b-instruct-1.6-epoch",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference... | null | 2024-04-13T10:17:16+00:00 | [] | [] | TAGS
#transformers #safetensors #mistral #text-generation #mergekit #merge #conversational #base_model-cognitivecomputations/dolphin-2.8-mistral-7b-v02 #base_model-arcee-ai/sec-mistral-7b-instruct-1.6-epoch #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| # merge
This is a merge of pre-trained language models created using mergekit.
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* cognitivecomputations/dolphin-2.8-mistral-7b-v02
* arcee-ai/sec-mistral-7b-instru... | [
"# merge\n\nThis is a merge of pre-trained language models created using mergekit.",
"## Merge Details",
"### Merge Method\n\nThis model was merged using the SLERP merge method.",
"### Models Merged\n\nThe following models were included in the merge:\n* cognitivecomputations/dolphin-2.8-mistral-7b-v02\n* arce... | [
"TAGS\n#transformers #safetensors #mistral #text-generation #mergekit #merge #conversational #base_model-cognitivecomputations/dolphin-2.8-mistral-7b-v02 #base_model-arcee-ai/sec-mistral-7b-instruct-1.6-epoch #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
"# merge\n\nThis i... | [
93,
17,
4,
17,
57,
16
] | [
"TAGS\n#transformers #safetensors #mistral #text-generation #mergekit #merge #conversational #base_model-cognitivecomputations/dolphin-2.8-mistral-7b-v02 #base_model-arcee-ai/sec-mistral-7b-instruct-1.6-epoch #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n# merge\n\nThis is a me... |
null | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# segformer-b0-human-parser
This model is a fine-tuned version of [nvidia/mit-b0](https://huggingface.co/nvidia/mit-b0) on an unkn... | {"license": "other", "tags": ["generated_from_trainer"], "base_model": "nvidia/mit-b0", "model-index": [{"name": "segformer-b0-human-parser", "results": []}]} | MF21377197/segformer-b0-human-parser | null | [
"transformers",
"tensorboard",
"safetensors",
"segformer",
"generated_from_trainer",
"base_model:nvidia/mit-b0",
"license:other",
"endpoints_compatible",
"region:us"
] | null | 2024-04-13T10:17:54+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #segformer #generated_from_trainer #base_model-nvidia/mit-b0 #license-other #endpoints_compatible #region-us
| segformer-b0-human-parser
=========================
This model is a fine-tuned version of nvidia/mit-b0 on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.2073
* Mean Iou: 0.5123
* Mean Accuracy: 0.6061
* Overall Accuracy: 0.9404
* Per Category Iou: [0.9738435807240893, 0.2548... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 6e-05\n* train\\_batch\\_size: 2\n* eval\\_batch\\_size: 2\n* seed: 42\n* gradient\\_accumulation\\_steps: 4\n* total\\_train\\_batch\\_size: 8\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e... | [
"TAGS\n#transformers #tensorboard #safetensors #segformer #generated_from_trainer #base_model-nvidia/mit-b0 #license-other #endpoints_compatible #region-us \n",
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 6e-05\n* train\\_batch\\_size: 2\n* e... | [
47,
124,
5,
44
] | [
"TAGS\n#transformers #tensorboard #safetensors #segformer #generated_from_trainer #base_model-nvidia/mit-b0 #license-other #endpoints_compatible #region-us \n### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 6e-05\n* train\\_batch\\_size: 2\n* eval\\_... |
text-generation | transformers | # GreenBit LLMs
This is GreenBitAI's pretrained **low-bit** LLMs with extreme compression yet still strong performance.
Please refer to our [Github page](https://github.com/GreenBitAI/green-bit-llm) for the code to run the model and more information.
| {"license": "apache-2.0"} | GreenBitAI/Qwen-1.5-7B-Chat-layer-mix-bpw-2.2 | null | [
"transformers",
"safetensors",
"qwen2",
"text-generation",
"conversational",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-13T10:19:09+00:00 | [] | [] | TAGS
#transformers #safetensors #qwen2 #text-generation #conversational #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| # GreenBit LLMs
This is GreenBitAI's pretrained low-bit LLMs with extreme compression yet still strong performance.
Please refer to our Github page for the code to run the model and more information.
| [
"# GreenBit LLMs\n\nThis is GreenBitAI's pretrained low-bit LLMs with extreme compression yet still strong performance.\n\nPlease refer to our Github page for the code to run the model and more information."
] | [
"TAGS\n#transformers #safetensors #qwen2 #text-generation #conversational #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
"# GreenBit LLMs\n\nThis is GreenBitAI's pretrained low-bit LLMs with extreme compression yet still strong performance.\n\nPlease ref... | [
46,
47
] | [
"TAGS\n#transformers #safetensors #qwen2 #text-generation #conversational #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n# GreenBit LLMs\n\nThis is GreenBitAI's pretrained low-bit LLMs with extreme compression yet still strong performance.\n\nPlease refer to ... |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.