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text-generation | transformers | Mistral-7B Japanese [LAPT + FOCUS]
===
## How to use
```python
from peft import AutoPeftModelForCausalLM
from transformers import AutoTokenizer
model = AutoPeftModelForCausalLM.from_pretrained(
"atsuki-yamaguchi/Mistral-7B-v0.1-focus-ja"
)
tokenizer = AutoTokenizer.from_pretrained(
"atsuki-yamaguchi/Mistral-7... | {"language": "ja", "license": "mit"} | atsuki-yamaguchi/Mistral-7B-v0.1-focus-ja | null | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"ja",
"arxiv:2402.10712",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-21T16:44:24+00:00 | [
"2402.10712"
] | [
"ja"
] | TAGS
#transformers #safetensors #mistral #text-generation #ja #arxiv-2402.10712 #license-mit #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| Mistral-7B Japanese [LAPT + FOCUS]
===
## How to use
## Link
For more details, please visit URL
| [
"## How to use",
"## Link\nFor more details, please visit URL"
] | [
"TAGS\n#transformers #safetensors #mistral #text-generation #ja #arxiv-2402.10712 #license-mit #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
"## How to use",
"## Link\nFor more details, please visit URL"
] | [
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"TAGS\n#transformers #safetensors #mistral #text-generation #ja #arxiv-2402.10712 #license-mit #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n## How to use## Link\nFor more details, please visit URL"
] |
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]
- **Shared by [optional]:** [More Information Needed]
- **Model type:** [More Info... | {"library_name": "peft", "base_model": "TinyLlama/TinyLlama-1.1B-Chat-v1.0"} | bmehrba/TinyLlama-1.1B-Chat-v1.0-fine-tuned-adapters_Gpt4_tiny_Seed105 | null | [
"peft",
"arxiv:1910.09700",
"base_model:TinyLlama/TinyLlama-1.1B-Chat-v1.0",
"region:us"
] | null | 2024-04-21T16:44:53+00:00 | [
"1910.09700"
] | [] | TAGS
#peft #arxiv-1910.09700 #base_model-TinyLlama/TinyLlama-1.1B-Chat-v1.0 #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
- Developed by:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License:
- Finetuned from model [optional]:
### Model Sources [optional]
- Repository:
- Paper [optional]:
- Demo [optional]:
## Uses
### Direct Use
... | [
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\n\n\n- Developed by: \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 [optional]: \n- Demo [optional]:"... | [
"TAGS\n#peft #arxiv-1910.09700 #base_model-TinyLlama/TinyLlama-1.1B-Chat-v1.0 #region-us \n",
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\n\n\n- Developed by: \n- Shared by [optional]: \n- Model type: \n- Language(s) (NLP): \n- License: \n- Finetuned from model [optional]:",
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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]
- **Shared by [optional]:** [More Information Needed]
- **Model type:** [More Info... | {"library_name": "peft", "base_model": "TinyLlama/TinyLlama-1.1B-Chat-v1.0"} | bmehrba/TinyLlama-1.1B-Chat-v1.0-fine-tuned_Gpt4_tiny_Seed105 | null | [
"peft",
"arxiv:1910.09700",
"base_model:TinyLlama/TinyLlama-1.1B-Chat-v1.0",
"region:us"
] | null | 2024-04-21T16:44:57+00:00 | [
"1910.09700"
] | [] | TAGS
#peft #arxiv-1910.09700 #base_model-TinyLlama/TinyLlama-1.1B-Chat-v1.0 #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
- Developed by:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License:
- Finetuned from model [optional]:
### Model Sources [optional]
- Repository:
- Paper [optional]:
- Demo [optional]:
## Uses
### Direct Use
... | [
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\n\n\n- Developed by: \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 [optional]: \n- Demo [optional]:"... | [
"TAGS\n#peft #arxiv-1910.09700 #base_model-TinyLlama/TinyLlama-1.1B-Chat-v1.0 #region-us \n",
"# Model Card for Model ID",
"## Model Details",
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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-2b-aya-chatml.sinhala
This model is a fine-tuned version of [google/gemma-2b](https://huggingface.co/google/gemma-2b) on t... | {"license": "gemma", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "datasets": ["generator"], "base_model": "google/gemma-2b", "model-index": [{"name": "gemma-2b-aya-chatml", "results": []}]} | Ransaka/gemma-2b-aya-chatml.sinhala | null | [
"peft",
"tensorboard",
"safetensors",
"trl",
"sft",
"generated_from_trainer",
"dataset:generator",
"base_model:google/gemma-2b",
"license:gemma",
"region:us"
] | null | 2024-04-21T16:45:06+00:00 | [] | [] | TAGS
#peft #tensorboard #safetensors #trl #sft #generated_from_trainer #dataset-generator #base_model-google/gemma-2b #license-gemma #region-us
|
# gemma-2b-aya-chatml.sinhala
This model is a fine-tuned version of google/gemma-2b on the generator dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperpa... | [
"# gemma-2b-aya-chatml.sinhala\n\nThis model is a fine-tuned version of google/gemma-2b 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",
"## Training proce... | [
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"## Model description\n\nMore information nee... | [
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null | adapter-transformers |
# Adapter `BigTMiami/n_par_bn_v_1_help_class_20_e_adp_lr_0003_S_0` for roberta-base
An [adapter](https://adapterhub.ml) for the `roberta-base` model that was trained on the [BigTMiami/amazon_MICRO_helpfulness_dataset](https://huggingface.co/datasets/BigTMiami/amazon_MICRO_helpfulness_dataset/) dataset and includes a ... | {"tags": ["adapter-transformers", "roberta"], "datasets": ["BigTMiami/amazon_MICRO_helpfulness_dataset"]} | BigTMiami/n_par_bn_v_1_help_class_20_e_adp_lr_0003_S_0 | null | [
"adapter-transformers",
"roberta",
"dataset:BigTMiami/amazon_MICRO_helpfulness_dataset",
"region:us"
] | null | 2024-04-21T16:46:07+00:00 | [] | [] | TAGS
#adapter-transformers #roberta #dataset-BigTMiami/amazon_MICRO_helpfulness_dataset #region-us
|
# Adapter 'BigTMiami/n_par_bn_v_1_help_class_20_e_adp_lr_0003_S_0' for roberta-base
An adapter for the 'roberta-base' model that was trained on the BigTMiami/amazon_MICRO_helpfulness_dataset dataset and includes a prediction head for classification.
This adapter was created for usage with the Adapters library.
## U... | [
"# Adapter 'BigTMiami/n_par_bn_v_1_help_class_20_e_adp_lr_0003_S_0' for roberta-base\n\nAn adapter for the 'roberta-base' model that was trained on the BigTMiami/amazon_MICRO_helpfulness_dataset dataset and includes a prediction head for classification.\n\nThis adapter was created for usage with the Adapters librar... | [
"TAGS\n#adapter-transformers #roberta #dataset-BigTMiami/amazon_MICRO_helpfulness_dataset #region-us \n",
"# Adapter 'BigTMiami/n_par_bn_v_1_help_class_20_e_adp_lr_0003_S_0' for roberta-base\n\nAn adapter for the 'roberta-base' model that was trained on the BigTMiami/amazon_MICRO_helpfulness_dataset dataset and i... | [
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24,
5,
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"TAGS\n#adapter-transformers #roberta #dataset-BigTMiami/amazon_MICRO_helpfulness_dataset #region-us \n# Adapter 'BigTMiami/n_par_bn_v_1_help_class_20_e_adp_lr_0003_S_0' for roberta-base\n\nAn adapter for the 'roberta-base' model that was trained on the BigTMiami/amazon_MICRO_helpfulness_dataset dataset and include... |
text-generation | transformers |
# llama3-discolm-orca
is a merge of the following models
* [Locutusque/llama-3-neural-chat-v1-8b](https://huggingface.co/Locutusque/llama-3-neural-chat-v1-8b)
* [Locutusque/Llama-3-Orca-1.0-8B](https://huggingface.co/Locutusque/Llama-3-Orca-1.0-8B)
* [DiscoResearch/Llama3_DiscoLM_German_8b_v0.1_experimental](https://... | {"tags": ["merge", "mergekit", "lazymergekit", "Locutusque/llama-3-neural-chat-v1-8b", "DiscoResearch/Llama3_DiscoLM_German_8b_v0.1_experimental"], "base_model": ["Locutusque/llama-3-neural-chat-v1-8b", "DiscoResearch/Llama3_DiscoLM_German_8b_v0.1_experimental"]} | cstr/llama3-discolm-orca | null | [
"transformers",
"safetensors",
"llama",
"text-generation",
"merge",
"mergekit",
"lazymergekit",
"Locutusque/llama-3-neural-chat-v1-8b",
"DiscoResearch/Llama3_DiscoLM_German_8b_v0.1_experimental",
"conversational",
"base_model:Locutusque/llama-3-neural-chat-v1-8b",
"base_model:DiscoResearch/Lla... | null | 2024-04-21T16:46:17+00:00 | [] | [] | TAGS
#transformers #safetensors #llama #text-generation #merge #mergekit #lazymergekit #Locutusque/llama-3-neural-chat-v1-8b #DiscoResearch/Llama3_DiscoLM_German_8b_v0.1_experimental #conversational #base_model-Locutusque/llama-3-neural-chat-v1-8b #base_model-DiscoResearch/Llama3_DiscoLM_German_8b_v0.1_experimental #au... |
# llama3-discolm-orca
is a merge of the following models
* Locutusque/llama-3-neural-chat-v1-8b
* Locutusque/Llama-3-Orca-1.0-8B
* DiscoResearch/Llama3_DiscoLM_German_8b_v0.1_experimental
This was mostly a proof of concept test. GGUF 4k quants here: cstr/llama3-discolm-orca-GGUF
## Configuration
LazyMergekit conf... | [
"# llama3-discolm-orca\n\nis a merge of the following models\n* Locutusque/llama-3-neural-chat-v1-8b\n* Locutusque/Llama-3-Orca-1.0-8B\n* DiscoResearch/Llama3_DiscoLM_German_8b_v0.1_experimental\n\nThis was mostly a proof of concept test. GGUF 4k quants here: cstr/llama3-discolm-orca-GGUF",
"## Configuration\n\n... | [
"TAGS\n#transformers #safetensors #llama #text-generation #merge #mergekit #lazymergekit #Locutusque/llama-3-neural-chat-v1-8b #DiscoResearch/Llama3_DiscoLM_German_8b_v0.1_experimental #conversational #base_model-Locutusque/llama-3-neural-chat-v1-8b #base_model-DiscoResearch/Llama3_DiscoLM_German_8b_v0.1_experiment... | [
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null | keras |
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
| Hyperparameters | Value |
| :-- | :-- |
| na... | {"library_name": "keras"} | Hitomiblood/blindness_modelKerasCPU | null | [
"keras",
"region:us"
] | null | 2024-04-21T16:47:41+00:00 | [] | [] | TAGS
#keras #region-us
| Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More information needed
Training and evaluation data
----------------------------
More information needed
Training procedure
------------------
### Training hyperparameters
The following h... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n\nModel Plot\n----------\n\n\n\nView Model Plot\n!Model Image"
] | [
"TAGS\n#keras #region-us \n",
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] |
null | null | # Meta-Llama-3-70B-Instruct-gguf
[meta-llamaさんが公開しているMeta-Llama-3-70B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3-70B-Instruct)のggufフォーマット変換版です。
eot_id対応してます。
imatrixのデータは[TFMC/imatrix-dataset-for-japanese-llm](https://huggingface.co/datasets/TFMC/imatrix-dataset-for-japanese-llm)を使用して作成しました。
## 分割され... | {"language": ["en", "ja"], "license": "other", "tags": ["llama3"], "datasets": ["TFMC/imatrix-dataset-for-japanese-llm"], "license_name": "llama3", "license_link": "https://huggingface.co/meta-llama/Meta-Llama-3-8B/blob/main/LICENSE"} | mmnga/Meta-Llama-3-70B-Instruct-gguf | null | [
"gguf",
"llama3",
"en",
"ja",
"dataset:TFMC/imatrix-dataset-for-japanese-llm",
"license:other",
"region:us"
] | null | 2024-04-21T16:48:06+00:00 | [] | [
"en",
"ja"
] | TAGS
#gguf #llama3 #en #ja #dataset-TFMC/imatrix-dataset-for-japanese-llm #license-other #region-us
| # Meta-Llama-3-70B-Instruct-gguf
meta-llamaさんが公開しているMeta-Llama-3-70B-Instructのggufフォーマット変換版です。
eot_id対応してます。
imatrixのデータはTFMC/imatrix-dataset-for-japanese-llmを使用して作成しました。
## 分割されたファイルについて
q6_kやq8_0のファイルはサイズが大きく分割されているので結合する必要があります。
~~~bash
cat Meta-Llama-3-70B-Instruct-Q5_K_M.gguf.* > Meta-Llama-3-70B-Instruct... | [
"# Meta-Llama-3-70B-Instruct-gguf \nmeta-llamaさんが公開しているMeta-Llama-3-70B-Instructのggufフォーマット変換版です。\n\neot_id対応してます。 \nimatrixのデータはTFMC/imatrix-dataset-for-japanese-llmを使用して作成しました。",
"## 分割されたファイルについて\nq6_kやq8_0のファイルはサイズが大きく分割されているので結合する必要があります。 \n\n~~~bash\ncat Meta-Llama-3-70B-Instruct-Q5_K_M.gguf.* > Meta-Llama... | [
"TAGS\n#gguf #llama3 #en #ja #dataset-TFMC/imatrix-dataset-for-japanese-llm #license-other #region-us \n",
"# Meta-Llama-3-70B-Instruct-gguf \nmeta-llamaさんが公開しているMeta-Llama-3-70B-Instructのggufフォーマット変換版です。\n\neot_id対応してます。 \nimatrixのデータはTFMC/imatrix-dataset-for-japanese-llmを使用して作成しました。",
"## 分割されたファイルについて\nq6_kや... | [
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"TAGS\n#gguf #llama3 #en #ja #dataset-TFMC/imatrix-dataset-for-japanese-llm #license-other #region-us \n# Meta-Llama-3-70B-Instruct-gguf \nmeta-llamaさんが公開しているMeta-Llama-3-70B-Instructのggufフォーマット変換版です。\n\neot_id対応してます。 \nimatrixのデータはTFMC/imatrix-dataset-for-japanese-llmを使用して作成しました。## 分割されたファイルについて\nq6_kやq8_0のファイルはサイ... |
text-to-image | diffusers |
<Gallery />
## Model description
These are leonickson1/grigg_building_uncc LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0.
LoRA for the text encoder was enabled: False.
Special VAE used for training: None.
## Trigger words
You should use photo of a sks building to trigger the image gener... | {"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": "photo of a sks building"} | leonickson1/grigg_building_uncc | 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 | 2024-04-21T16:48:47+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
|
<Gallery />
## Model description
These are leonickson1/grigg_building_uncc LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0.
LoRA for the text encoder was enabled: False.
Special VAE used for training: None.
## Trigger words
You should use photo of a sks building to trigger the image gener... | [
"## Model description\n\nThese are leonickson1/grigg_building_uncc LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0.\n\nLoRA for the text encoder was enabled: False.\n\nSpecial VAE used for training: None.",
"## Trigger words\n\nYou should use photo of a sks building to trigger the image generat... | [
"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",
"## Model description\n\nThese are leonickson1/grigg_building_uncc LoRA adaption weights for stabilityai/... | [
68,
62,
19,
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## Model description\n\nThese are leonickson1/grigg_building_uncc LoRA adaption weights for stabilityai/stable... |
text-generation | transformers | TigerBot-7B Japanese [LAPT + CLP]
===
## How to use
```python
from peft import AutoPeftModelForCausalLM
from transformers import AutoTokenizer
model = AutoPeftModelForCausalLM.from_pretrained(
"atsuki-yamaguchi/tigerbot-7b-base-clp-ja"
)
tokenizer = AutoTokenizer.from_pretrained(
"atsuki-yamaguchi/tigerbot-7b... | {"language": "ja", "license": "mit"} | atsuki-yamaguchi/tigerbot-7b-base-clp-ja | null | [
"transformers",
"safetensors",
"llama",
"text-generation",
"ja",
"arxiv:2402.10712",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-21T16:49:05+00:00 | [
"2402.10712"
] | [
"ja"
] | TAGS
#transformers #safetensors #llama #text-generation #ja #arxiv-2402.10712 #license-mit #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| TigerBot-7B Japanese [LAPT + CLP]
===
## How to use
## Link
For more details, please visit URL
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] |
text-generation | transformers |
GPTQ 4-bit Quantized Llama-3 8B Instruct Model
Model Version: 1.0
Model Creator: CollAIborator (https://www.collaiborate.com)
Model Overview: This repo contains 4 Bit quantized GPTQ model files from meta-llama/Meta-Llama-3-8B-Instruct. This model is an optimized version to run on lower config GPUs and comes with a ... | {"language": ["en"], "license": "llama2", "library_name": "transformers"} | collAIborate/Meta-Llama-3-8B-Instruct-GPTQ-4Bit | null | [
"transformers",
"llama",
"text-generation",
"conversational",
"en",
"license:llama2",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"4-bit",
"region:us"
] | null | 2024-04-21T16:49:43+00:00 | [] | [
"en"
] | TAGS
#transformers #llama #text-generation #conversational #en #license-llama2 #autotrain_compatible #endpoints_compatible #text-generation-inference #4-bit #region-us
|
GPTQ 4-bit Quantized Llama-3 8B Instruct Model
Model Version: 1.0
Model Creator: CollAIborator (URL)
Model Overview: This repo contains 4 Bit quantized GPTQ model files from meta-llama/Meta-Llama-3-8B-Instruct. This model is an optimized version to run on lower config GPUs and comes with a small quality degradation... | [] | [
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] |
null | adapter-transformers |
# Adapter `BigTMiami/n_par_bn_v_1_help_class_5_e_adp_lr_0003_S_1` for roberta-base
An [adapter](https://adapterhub.ml) for the `roberta-base` model that was trained on the [BigTMiami/amazon_MICRO_helpfulness_dataset](https://huggingface.co/datasets/BigTMiami/amazon_MICRO_helpfulness_dataset/) dataset and includes a p... | {"tags": ["adapter-transformers", "roberta"], "datasets": ["BigTMiami/amazon_MICRO_helpfulness_dataset"]} | BigTMiami/n_par_bn_v_1_help_class_5_e_adp_lr_0003_S_1 | null | [
"adapter-transformers",
"roberta",
"dataset:BigTMiami/amazon_MICRO_helpfulness_dataset",
"region:us"
] | null | 2024-04-21T16:49:46+00:00 | [] | [] | TAGS
#adapter-transformers #roberta #dataset-BigTMiami/amazon_MICRO_helpfulness_dataset #region-us
|
# Adapter 'BigTMiami/n_par_bn_v_1_help_class_5_e_adp_lr_0003_S_1' for roberta-base
An adapter for the 'roberta-base' model that was trained on the BigTMiami/amazon_MICRO_helpfulness_dataset dataset and includes a prediction head for classification.
This adapter was created for usage with the Adapters library.
## Us... | [
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object-detection | 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": []} | Charliesgt/pollencounter_detr_resnet50-dc5 | null | [
"transformers",
"safetensors",
"detr",
"object-detection",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-04-21T16:49:59+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #detr #object-detection #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 #detr #object-detection #arxiv-1910.09700 #endpoints_compatible #region-us \n",
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text-generation | transformers | Mistral-7B Japanese [LAPT + Random]
===
## How to use
```python
from peft import AutoPeftModelForCausalLM
from transformers import AutoTokenizer
model = AutoPeftModelForCausalLM.from_pretrained(
"atsuki-yamaguchi/Mistral-7B-v0.1-random-ja"
)
tokenizer = AutoTokenizer.from_pretrained(
"atsuki-yamaguchi/Mistral... | {"language": "ja", "license": "mit"} | atsuki-yamaguchi/Mistral-7B-v0.1-random-ja | null | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"ja",
"arxiv:2402.10712",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-21T16:50:25+00:00 | [
"2402.10712"
] | [
"ja"
] | TAGS
#transformers #safetensors #mistral #text-generation #ja #arxiv-2402.10712 #license-mit #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| Mistral-7B Japanese [LAPT + Random]
===
## How to use
## Link
For more details, please visit URL
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"## Link\nFor more details, please visit URL"
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] |
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": []} | qiao101660/bert-finetuing-uncased | null | [
"transformers",
"safetensors",
"bert",
"text-classification",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-21T16:51:05+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #bert #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 #bert #text-classification #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #region-us \n",
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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_ablation_sample1_4iters_bs256_iter_4
This model is a fine-tuned version of [ZhangShenao/0.0_ablation_sample1_4iters_bs256_it... | {"license": "mit", "tags": ["alignment-handbook", "generated_from_trainer", "trl", "dpo", "generated_from_trainer"], "datasets": ["ZhangShenao/0.0_ablation_sample1_4iters_bs256_dataset"], "base_model": "ZhangShenao/0.0_ablation_sample1_4iters_bs256_iter_3", "model-index": [{"name": "0.0_ablation_sample1_4iters_bs256_it... | ZhangShenao/0.0_ablation_sample1_4iters_bs256_iter_4 | null | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"alignment-handbook",
"generated_from_trainer",
"trl",
"dpo",
"conversational",
"dataset:ZhangShenao/0.0_ablation_sample1_4iters_bs256_dataset",
"base_model:ZhangShenao/0.0_ablation_sample1_4iters_bs256_iter_3",
"license:mit",
"aut... | null | 2024-04-21T16:53:44+00:00 | [] | [] | TAGS
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# 0.0_ablation_sample1_4iters_bs256_iter_4
This model is a fine-tuned version of ZhangShenao/0.0_ablation_sample1_4iters_bs256_iter_3 on the ZhangShenao/0.0_ablation_sample1_4iters_bs256_dataset dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Trai... | [
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text-generation | transformers | BLOOM-7B Swahili [LAPT + FOCUS]
===
## How to use
```python
from peft import AutoPeftModelForCausalLM
from transformers import AutoTokenizer
model = AutoPeftModelForCausalLM.from_pretrained(
"atsuki-yamaguchi/bloom-7b1-focus-sw"
)
tokenizer = AutoTokenizer.from_pretrained(
"atsuki-yamaguchi/bloom-7b1-focus-sw... | {"language": "sw", "license": "mit"} | atsuki-yamaguchi/bloom-7b1-focus-sw | null | [
"transformers",
"safetensors",
"bloom",
"text-generation",
"sw",
"arxiv:2402.10712",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-21T16:54:03+00:00 | [
"2402.10712"
] | [
"sw"
] | TAGS
#transformers #safetensors #bloom #text-generation #sw #arxiv-2402.10712 #license-mit #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| BLOOM-7B Swahili [LAPT + FOCUS]
===
## How to use
## Link
For more details, please visit URL
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"## How to use",
"## Link\nFor more details, please visit URL"
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] |
text-generation | transformers | TigerBot-7B Arabic [LAPT + FOCUS]
===
## How to use
```python
from peft import AutoPeftModelForCausalLM
from transformers import AutoTokenizer
model = AutoPeftModelForCausalLM.from_pretrained(
"atsuki-yamaguchi/tigerbot-7b-base-focus-ar"
)
tokenizer = AutoTokenizer.from_pretrained(
"aubmindlab/aragpt2-base"
)... | {"language": "ar", "license": "mit"} | atsuki-yamaguchi/tigerbot-7b-base-focus-ar | null | [
"transformers",
"safetensors",
"llama",
"text-generation",
"ar",
"arxiv:2402.10712",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-21T16:55:08+00:00 | [
"2402.10712"
] | [
"ar"
] | TAGS
#transformers #safetensors #llama #text-generation #ar #arxiv-2402.10712 #license-mit #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| TigerBot-7B Arabic [LAPT + FOCUS]
===
## How to use
## Link
For more details, please visit URL
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] |
token-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": []} | KaggleMasterX/BERT_Episode1 | null | [
"transformers",
"safetensors",
"bert",
"token-classification",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-21T16:55:40+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #bert #token-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)... | [
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text-generation | transformers | Mistral-7B Japanese [LAPT + CLP]
===
## How to use
```python
from peft import AutoPeftModelForCausalLM
from transformers import AutoTokenizer
model = AutoPeftModelForCausalLM.from_pretrained(
"atsuki-yamaguchi/Mistral-7B-v0.1-clp-ja"
)
tokenizer = AutoTokenizer.from_pretrained(
"atsuki-yamaguchi/Mistral-7B-v0... | {"language": "ja", "license": "mit"} | atsuki-yamaguchi/Mistral-7B-v0.1-clp-ja | null | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"ja",
"arxiv:2402.10712",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-21T16:56:21+00:00 | [
"2402.10712"
] | [
"ja"
] | TAGS
#transformers #safetensors #mistral #text-generation #ja #arxiv-2402.10712 #license-mit #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| Mistral-7B Japanese [LAPT + CLP]
===
## How to use
## Link
For more details, please visit URL
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] |
null | adapter-transformers |
# Adapter `BigTMiami/n_par_bn_v_1_help_class_20_e_adp_lr_0003_S_1` for roberta-base
An [adapter](https://adapterhub.ml) for the `roberta-base` model that was trained on the [BigTMiami/amazon_MICRO_helpfulness_dataset](https://huggingface.co/datasets/BigTMiami/amazon_MICRO_helpfulness_dataset/) dataset and includes a ... | {"tags": ["adapter-transformers", "roberta"], "datasets": ["BigTMiami/amazon_MICRO_helpfulness_dataset"]} | BigTMiami/n_par_bn_v_1_help_class_20_e_adp_lr_0003_S_1 | null | [
"adapter-transformers",
"roberta",
"dataset:BigTMiami/amazon_MICRO_helpfulness_dataset",
"region:us"
] | null | 2024-04-21T16:56:30+00:00 | [] | [] | TAGS
#adapter-transformers #roberta #dataset-BigTMiami/amazon_MICRO_helpfulness_dataset #region-us
|
# Adapter 'BigTMiami/n_par_bn_v_1_help_class_20_e_adp_lr_0003_S_1' for roberta-base
An adapter for the 'roberta-base' model that was trained on the BigTMiami/amazon_MICRO_helpfulness_dataset dataset and includes a prediction head for classification.
This adapter was created for usage with the Adapters library.
## U... | [
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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. -->
# swin-tiny-patch4-window7-224
This model was trained from scratch on the imagefolder dataset.
It achieves the following results o... | {"tags": ["generated_from_trainer"], "datasets": ["imagefolder"], "model-index": [{"name": "swin-tiny-patch4-window7-224", "results": []}]} | t1msan/swin-tiny-patch4-window7-224 | null | [
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"region:us"
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#transformers #tensorboard #safetensors #swin #image-classification #generated_from_trainer #dataset-imagefolder #autotrain_compatible #endpoints_compatible #region-us
| swin-tiny-patch4-window7-224
============================
This model was trained from scratch on the imagefolder dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1355
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: 64\n* eval\\_batch\\_size: 64\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... | [
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text-generation | transformers | BLOOM-7B Swahili [LAPT + Random]
===
## How to use
```python
from peft import AutoPeftModelForCausalLM
from transformers import AutoTokenizer
model = AutoPeftModelForCausalLM.from_pretrained(
"atsuki-yamaguchi/bloom-7b1-random-sw"
)
tokenizer = AutoTokenizer.from_pretrained(
"atsuki-yamaguchi/bloom-7b1-random... | {"language": "sw", "license": "mit"} | atsuki-yamaguchi/bloom-7b1-random-sw | null | [
"transformers",
"safetensors",
"bloom",
"text-generation",
"sw",
"arxiv:2402.10712",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-21T16:58:31+00:00 | [
"2402.10712"
] | [
"sw"
] | TAGS
#transformers #safetensors #bloom #text-generation #sw #arxiv-2402.10712 #license-mit #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| BLOOM-7B Swahili [LAPT + Random]
===
## How to use
## Link
For more details, please visit URL
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] |
text2text-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. -->
# traductor_es_en
This model is a fine-tuned version of [Tahsin-Mayeesha/squad-bn-mt5-base2](https://huggingface.co/Tahsin-Mayeesh... | {"license": "apache-2.0", "tags": ["simplification", "generated_from_trainer"], "metrics": ["bleu"], "base_model": "Tahsin-Mayeesha/squad-bn-mt5-base2", "model-index": [{"name": "traductor_es_en", "results": []}]} | frluquba/traductor_es_en | null | [
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"region:us"
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#transformers #tensorboard #safetensors #t5 #text2text-generation #simplification #generated_from_trainer #base_model-Tahsin-Mayeesha/squad-bn-mt5-base2 #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| traductor\_es\_en
=================
This model is a fine-tuned version of Tahsin-Mayeesha/squad-bn-mt5-base2 on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 1.5293
* Bleu: 7.0139
* Gen Len: 17.3797
Model description
-----------------
More information needed
Intended uses ... | [
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text-generation | transformers | TigerBot-7B Arabic [LAPT + Random]
===
## How to use
```python
from peft import AutoPeftModelForCausalLM
from transformers import AutoTokenizer
model = AutoPeftModelForCausalLM.from_pretrained(
"atsuki-yamaguchi/tigerbot-7b-base-random-ar"
)
tokenizer = AutoTokenizer.from_pretrained(
"aubmindlab/aragpt2-base"... | {"language": "ar", "license": "mit"} | atsuki-yamaguchi/tigerbot-7b-base-random-ar | null | [
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"llama",
"text-generation",
"ar",
"arxiv:2402.10712",
"license:mit",
"autotrain_compatible",
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"text-generation-inference",
"region:us"
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"2402.10712"
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"ar"
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#transformers #safetensors #llama #text-generation #ar #arxiv-2402.10712 #license-mit #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| TigerBot-7B Arabic [LAPT + Random]
===
## How to use
## Link
For more details, please visit URL
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] |
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": []} | mryannugent/self-finetune-miscondetect-bloomz-3b | null | [
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"safetensors",
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#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]:
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- License... | [
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text-generation | transformers |
The original Llama 3 8b (base) special token weights are zero, which might cause NaN gradients. This version re-initialized the weights of all the following special tokens to alleviate the problem.
```
<|eot_id|>
<|start_header_id|>
<|end_header_id|>
```
We set the weights of these tokens in `embed` and `lm_head` to... | {"license": "other", "license_name": "llama3", "license_link": "LICENSE"} | imone/Llama-3-8B-fixed-special-embedding | null | [
"transformers",
"safetensors",
"llama",
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"license:other",
"autotrain_compatible",
"endpoints_compatible",
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"region:us"
] | null | 2024-04-21T17:01:58+00:00 | [] | [] | TAGS
#transformers #safetensors #llama #text-generation #license-other #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
The original Llama 3 8b (base) special token weights are zero, which might cause NaN gradients. This version re-initialized the weights of all the following special tokens to alleviate the problem.
We set the weights of these tokens in 'embed' and 'lm_head' to be the mean of all other tokens.
Code for making this ... | [] | [
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text-generation | transformers | Quantization made by Richard Erkhov.
[Github](https://github.com/RichardErkhov)
[Discord](https://discord.gg/pvy7H8DZMG)
[Request more models](https://github.com/RichardErkhov/quant_request)
CodeLlama-70b-hf - bnb 4bits
- Model creator: https://huggingface.co/meta-llama/
- Original model: https://huggingface.co/me... | {} | RichardErkhov/meta-llama_-_CodeLlama-70b-hf-4bits | null | [
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"text-generation",
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"4-bit",
"region:us"
] | null | 2024-04-21T17:03:14+00:00 | [
"2308.12950"
] | [] | TAGS
#transformers #safetensors #llama #text-generation #arxiv-2308.12950 #autotrain_compatible #endpoints_compatible #text-generation-inference #4-bit #region-us
| Quantization made by Richard Erkhov.
Github
Discord
Request more models
CodeLlama-70b-hf - bnb 4bits
* Model creator: URL
* Original model: URL
Original model description:
---------------------------
extra\_gated\_heading: You need to share contact information with Meta to access this model
extra\_gated\_... | [
"### LLAMA 2 COMMUNITY LICENSE AGREEMENT\n\n\n\"Agreement\" means the terms and conditions for use, reproduction, distribution\nand modification of the Llama Materials set forth herein.\n\"Documentation\" means the specifications, manuals and documentation\naccompanying Llama 2 distributed by Meta at\nURL \n\n\"Li... | [
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text-generation | transformers | BLOOM-7B Swahili [LAPT + CLP]
===
## How to use
```python
from peft import AutoPeftModelForCausalLM
from transformers import AutoTokenizer
model = AutoPeftModelForCausalLM.from_pretrained(
"atsuki-yamaguchi/bloom-7b1-clp-sw"
)
tokenizer = AutoTokenizer.from_pretrained(
"atsuki-yamaguchi/bloom-7b1-clp-sw"
)
#... | {"language": "sw", "license": "mit"} | atsuki-yamaguchi/bloom-7b1-clp-sw | null | [
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"safetensors",
"bloom",
"text-generation",
"sw",
"arxiv:2402.10712",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-21T17:03:21+00:00 | [
"2402.10712"
] | [
"sw"
] | TAGS
#transformers #safetensors #bloom #text-generation #sw #arxiv-2402.10712 #license-mit #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| BLOOM-7B Swahili [LAPT + CLP]
===
## How to use
## Link
For more details, please visit URL
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] |
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": []} | SkwarczynskiP/bert-base-uncased-finetuned-vedantgaur-human-generated | null | [
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|
# 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... | [
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null | adapter-transformers |
# Adapter `BigTMiami/n_par_bn_v_1_help_class_5_e_adp_lr_0003_S_2` for roberta-base
An [adapter](https://adapterhub.ml) for the `roberta-base` model that was trained on the [BigTMiami/amazon_MICRO_helpfulness_dataset](https://huggingface.co/datasets/BigTMiami/amazon_MICRO_helpfulness_dataset/) dataset and includes a p... | {"tags": ["adapter-transformers", "roberta"], "datasets": ["BigTMiami/amazon_MICRO_helpfulness_dataset"]} | BigTMiami/n_par_bn_v_1_help_class_5_e_adp_lr_0003_S_2 | null | [
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"roberta",
"dataset:BigTMiami/amazon_MICRO_helpfulness_dataset",
"region:us"
] | null | 2024-04-21T17:04:07+00:00 | [] | [] | TAGS
#adapter-transformers #roberta #dataset-BigTMiami/amazon_MICRO_helpfulness_dataset #region-us
|
# Adapter 'BigTMiami/n_par_bn_v_1_help_class_5_e_adp_lr_0003_S_2' for roberta-base
An adapter for the 'roberta-base' model that was trained on the BigTMiami/amazon_MICRO_helpfulness_dataset dataset and includes a prediction head for classification.
This adapter was created for usage with the Adapters library.
## Us... | [
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text-generation | transformers | TigerBot-7B Swahili [LAPT + FOCUS]
===
## How to use
```python
from peft import AutoPeftModelForCausalLM
from transformers import AutoTokenizer
model = AutoPeftModelForCausalLM.from_pretrained(
"atsuki-yamaguchi/tigerbot-7b-base-focus-sw"
)
tokenizer = AutoTokenizer.from_pretrained(
"atsuki-yamaguchi/tigerbot... | {"language": "sw", "license": "mit"} | atsuki-yamaguchi/tigerbot-7b-base-focus-sw | null | [
"transformers",
"safetensors",
"llama",
"text-generation",
"sw",
"arxiv:2402.10712",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-21T17:04:35+00:00 | [
"2402.10712"
] | [
"sw"
] | TAGS
#transformers #safetensors #llama #text-generation #sw #arxiv-2402.10712 #license-mit #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| TigerBot-7B Swahili [LAPT + FOCUS]
===
## How to use
## Link
For more details, please visit URL
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text-generation | transformers | TigerBot-7B Arabic [LAPT + CLP]
===
## How to use
```python
from peft import AutoPeftModelForCausalLM
from transformers import AutoTokenizer
model = AutoPeftModelForCausalLM.from_pretrained(
"atsuki-yamaguchi/tigerbot-7b-base-clp-ar"
)
tokenizer = AutoTokenizer.from_pretrained(
"aubmindlab/aragpt2-base"
)
# ... | {"language": "ar", "license": "mit"} | atsuki-yamaguchi/tigerbot-7b-base-clp-ar | null | [
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"ar",
"arxiv:2402.10712",
"license:mit",
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"region:us"
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"2402.10712"
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| TigerBot-7B Arabic [LAPT + CLP]
===
## How to use
## Link
For more details, please visit URL
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] |
text-to-image | diffusers |
# 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 🧨 diffusers model that has been pushed on the Hub. This model card has been automatically generated.
... | {"library_name": "diffusers"} | Niggendar/eponymPonydiffusionv6_v40 | null | [
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|
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token-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": []} | KaggleMasterX/BERT_Episode2 | null | [
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-generation | transformers |
# Uploaded model
- **Developed by:** Ricky080811
- **License:** apache-2.0
- **Finetuned from model :** unsloth/mistral-7b-v0.2-bnb-4bit
This mistral model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslotha... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl", "sft"], "base_model": "unsloth/mistral-7b-v0.2-bnb-4bit"} | Ricky080811/CompliAI_TestFullModel2 | null | [
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|
# Uploaded model
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- License: apache-2.0
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This mistral model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
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text-generation | transformers | TigerBot-7B Swahili [LAPT + Random]
===
## How to use
```python
from peft import AutoPeftModelForCausalLM
from transformers import AutoTokenizer
model = AutoPeftModelForCausalLM.from_pretrained(
"atsuki-yamaguchi/tigerbot-7b-base-random-sw"
)
tokenizer = AutoTokenizer.from_pretrained(
"atsuki-yamaguchi/tigerb... | {"language": "sw", "license": "mit"} | atsuki-yamaguchi/tigerbot-7b-base-random-sw | null | [
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"arxiv:2402.10712",
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| TigerBot-7B Swahili [LAPT + Random]
===
## How to use
## Link
For more details, please visit URL
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] |
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-small-rw
This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on th... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["common_voice_11_0"], "base_model": "openai/whisper-small", "model-index": [{"name": "whisper-small-rw", "results": []}]} | diane20000000000000/whisper-small-rw | null | [
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|
# whisper-small-rw
This model is a fine-tuned version of openai/whisper-small on the common_voice_11_0 dataset.
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- eval_wer: 75.1837
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- eval_steps_per_second: 0.429
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reinforcement-learning | stable-baselines3 |
# **DQN** Agent playing **SpaceInvadersNoFrameskip-v4**
This is a trained model of a **DQN** agent playing **SpaceInvadersNoFrameskip-v4**
using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3)
and the [RL Zoo](https://github.com/DLR-RM/rl-baselines3-zoo).
The RL Zoo is a training framewor... | {"library_name": "stable-baselines3", "tags": ["SpaceInvadersNoFrameskip-v4", "deep-reinforcement-learning", "reinforcement-learning", "stable-baselines3"], "model-index": [{"name": "DQN", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "SpaceInvadersNoFram... | aegis301/dqn-SpaceInvadersNoFrameskip-v4 | null | [
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|
# DQN Agent playing SpaceInvadersNoFrameskip-v4
This is a trained model of a DQN agent playing SpaceInvadersNoFrameskip-v4
using the stable-baselines3 library
and the RL Zoo.
The RL Zoo is a training framework for Stable Baselines3
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text-to-audio | 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": []} | procit001/female_english_voice_v1.3 | null | [
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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": []} | 0x0son0/xz_1 | null | [
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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": []} | selimyagci/bert-misogyny-english | null | [
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text-to-image | diffusers |
<Gallery />
## Model description
These are leonickson1/science_building_uncc LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0.
LoRA for the text encoder was enabled: False.
Special VAE used for training: None.
## Trigger words
You should use photo of a sks building to trigger the image gen... | {"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": "photo of a sks building"} | leonickson1/science_building_uncc | 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 | 2024-04-21T17:13:20+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
|
<Gallery />
## Model description
These are leonickson1/science_building_uncc LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0.
LoRA for the text encoder was enabled: False.
Special VAE used for training: None.
## Trigger words
You should use photo of a sks building to trigger the image gen... | [
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text-generation | transformers | Mistral-7B Swahili [LAPT + FOCUS]
===
## How to use
```python
from peft import AutoPeftModelForCausalLM
from transformers import AutoTokenizer
model = AutoPeftModelForCausalLM.from_pretrained(
"atsuki-yamaguchi/Mistral-7B-v0.1-focus-sw"
)
tokenizer = AutoTokenizer.from_pretrained(
"atsuki-yamaguchi/Mistral-7B... | {"language": "sw", "license": "mit"} | atsuki-yamaguchi/Mistral-7B-v0.1-focus-sw | null | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"sw",
"arxiv:2402.10712",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-21T17:13:57+00:00 | [
"2402.10712"
] | [
"sw"
] | TAGS
#transformers #safetensors #mistral #text-generation #sw #arxiv-2402.10712 #license-mit #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| Mistral-7B Swahili [LAPT + FOCUS]
===
## How to use
## Link
For more details, please visit URL
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] |
text-generation | transformers | TigerBot-7B Swahili [LAPT + CLP]
===
## How to use
```python
from peft import AutoPeftModelForCausalLM
from transformers import AutoTokenizer
model = AutoPeftModelForCausalLM.from_pretrained(
"atsuki-yamaguchi/tigerbot-7b-base-clp-sw"
)
tokenizer = AutoTokenizer.from_pretrained(
"atsuki-yamaguchi/tigerbot-7b-... | {"language": "sw", "license": "mit"} | atsuki-yamaguchi/tigerbot-7b-base-clp-sw | null | [
"transformers",
"safetensors",
"llama",
"text-generation",
"sw",
"arxiv:2402.10712",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-21T17:15:30+00:00 | [
"2402.10712"
] | [
"sw"
] | TAGS
#transformers #safetensors #llama #text-generation #sw #arxiv-2402.10712 #license-mit #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| TigerBot-7B Swahili [LAPT + CLP]
===
## How to use
## Link
For more details, please visit URL
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] |
text-to-image | diffusers |
# AutoTrain SDXL LoRA DreamBooth - leonickson1/hauser_alumni_pavilion_uncc
<Gallery />
## Model description
These are leonickson1/hauser_alumni_pavilion_uncc LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0.
The weights were trained using [DreamBooth](https://dreambooth.github.io/).
LoRA fo... | {"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": "photo of a sks building"} | leonickson1/hauser_alumni_pavilion_uncc | 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 | 2024-04-21T17:16:14+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 - leonickson1/hauser_alumni_pavilion_uncc
<Gallery />
## Model description
These are leonickson1/hauser_alumni_pavilion_uncc LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0.
The weights were trained using DreamBooth.
LoRA for the text encoder was enabled: F... | [
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"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",
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"## Model ... | [
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null | adapter-transformers |
# Adapter `BigTMiami/n_par_bn_v_1_help_class_20_e_adp_lr_0003_S_2` for roberta-base
An [adapter](https://adapterhub.ml) for the `roberta-base` model that was trained on the [BigTMiami/amazon_MICRO_helpfulness_dataset](https://huggingface.co/datasets/BigTMiami/amazon_MICRO_helpfulness_dataset/) dataset and includes a ... | {"tags": ["adapter-transformers", "roberta"], "datasets": ["BigTMiami/amazon_MICRO_helpfulness_dataset"]} | BigTMiami/n_par_bn_v_1_help_class_20_e_adp_lr_0003_S_2 | null | [
"adapter-transformers",
"roberta",
"dataset:BigTMiami/amazon_MICRO_helpfulness_dataset",
"region:us"
] | null | 2024-04-21T17:16:44+00:00 | [] | [] | TAGS
#adapter-transformers #roberta #dataset-BigTMiami/amazon_MICRO_helpfulness_dataset #region-us
|
# Adapter 'BigTMiami/n_par_bn_v_1_help_class_20_e_adp_lr_0003_S_2' for roberta-base
An adapter for the 'roberta-base' model that was trained on the BigTMiami/amazon_MICRO_helpfulness_dataset dataset and includes a prediction head for classification.
This adapter was created for usage with the Adapters library.
## U... | [
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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": []} | sataayu/molt5-augmented-default-600-small-smiles2caption | null | [
"transformers",
"safetensors",
"t5",
"text2text-generation",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-21T17:18:16+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... | [
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text-generation | transformers | Mistral-7B Swahili [LAPT + Random]
===
## How to use
```python
from peft import AutoPeftModelForCausalLM
from transformers import AutoTokenizer
model = AutoPeftModelForCausalLM.from_pretrained(
"atsuki-yamaguchi/Mistral-7B-v0.1-random-sw"
)
tokenizer = AutoTokenizer.from_pretrained(
"atsuki-yamaguchi/Mistral-... | {"language": "sw", "license": "mit"} | atsuki-yamaguchi/Mistral-7B-v0.1-random-sw | null | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"sw",
"arxiv:2402.10712",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-21T17:19:50+00:00 | [
"2402.10712"
] | [
"sw"
] | TAGS
#transformers #safetensors #mistral #text-generation #sw #arxiv-2402.10712 #license-mit #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| Mistral-7B Swahili [LAPT + Random]
===
## How to use
## Link
For more details, please visit URL
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] |
text-generation | transformers | TigerBot-7B German [LAPT + CLP+ (Untied)]
===
## How to use
```python
from peft import AutoPeftModelForCausalLM
from transformers import AutoTokenizer
model = AutoPeftModelForCausalLM.from_pretrained(
"atsuki-yamaguchi/tigerbot-7b-base-clpp-untied-de"
)
tokenizer = AutoTokenizer.from_pretrained(
"atsuki-yamag... | {"language": "de", "license": "mit"} | atsuki-yamaguchi/tigerbot-7b-base-clpp-untied-de | null | [
"transformers",
"safetensors",
"llama",
"text-generation",
"de",
"arxiv:2402.10712",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-21T17:20:39+00:00 | [
"2402.10712"
] | [
"de"
] | TAGS
#transformers #safetensors #llama #text-generation #de #arxiv-2402.10712 #license-mit #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| TigerBot-7B German [LAPT + CLP+ (Untied)]
===
## How to use
## Link
For more details, please visit URL
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] |
token-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": []} | KaggleMasterX/BERT_Episode3 | null | [
"transformers",
"safetensors",
"bert",
"token-classification",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-21T17:21:15+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #bert #token-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... | [
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null | adapter-transformers |
# Adapter `BigTMiami/n_par_bn_v_1_help_class_5_e_adp_lr_0003_S_3` for roberta-base
An [adapter](https://adapterhub.ml) for the `roberta-base` model that was trained on the [BigTMiami/amazon_MICRO_helpfulness_dataset](https://huggingface.co/datasets/BigTMiami/amazon_MICRO_helpfulness_dataset/) dataset and includes a p... | {"tags": ["adapter-transformers", "roberta"], "datasets": ["BigTMiami/amazon_MICRO_helpfulness_dataset"]} | BigTMiami/n_par_bn_v_1_help_class_5_e_adp_lr_0003_S_3 | null | [
"adapter-transformers",
"roberta",
"dataset:BigTMiami/amazon_MICRO_helpfulness_dataset",
"region:us"
] | null | 2024-04-21T17:22:25+00:00 | [] | [] | TAGS
#adapter-transformers #roberta #dataset-BigTMiami/amazon_MICRO_helpfulness_dataset #region-us
|
# Adapter 'BigTMiami/n_par_bn_v_1_help_class_5_e_adp_lr_0003_S_3' for roberta-base
An adapter for the 'roberta-base' model that was trained on the BigTMiami/amazon_MICRO_helpfulness_dataset dataset and includes a prediction head for classification.
This adapter was created for usage with the Adapters library.
## Us... | [
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null | mlx |
# mlx-community/dolphin-2.9-llama3-8b-unquantized
This model was converted to MLX format from [`cognitivecomputations/dolphin-2.9-llama3-8b`]() using mlx-lm version **0.10.0**.
Refer to the [original model card](https://huggingface.co/cognitivecomputations/dolphin-2.9-llama3-8b) for more details on the model.
## Use w... | {"license": "other", "tags": ["generated_from_trainer", "mlx"], "datasets": ["cognitivecomputations/Dolphin-2.9", "teknium/OpenHermes-2.5", "m-a-p/CodeFeedback-Filtered-Instruction", "cognitivecomputations/dolphin-coder", "cognitivecomputations/samantha-data", "HuggingFaceH4/ultrachat_200k", "microsoft/orca-math-word-p... | mlx-community/dolphin-2.9-llama3-8b-unquantized | null | [
"mlx",
"safetensors",
"llama",
"generated_from_trainer",
"dataset:cognitivecomputations/Dolphin-2.9",
"dataset:teknium/OpenHermes-2.5",
"dataset:m-a-p/CodeFeedback-Filtered-Instruction",
"dataset:cognitivecomputations/dolphin-coder",
"dataset:cognitivecomputations/samantha-data",
"dataset:HuggingF... | null | 2024-04-21T17:24:07+00:00 | [] | [] | TAGS
#mlx #safetensors #llama #generated_from_trainer #dataset-cognitivecomputations/Dolphin-2.9 #dataset-teknium/OpenHermes-2.5 #dataset-m-a-p/CodeFeedback-Filtered-Instruction #dataset-cognitivecomputations/dolphin-coder #dataset-cognitivecomputations/samantha-data #dataset-HuggingFaceH4/ultrachat_200k #dataset-micro... |
# mlx-community/dolphin-2.9-llama3-8b-unquantized
This model was converted to MLX format from ['cognitivecomputations/dolphin-2.9-llama3-8b']() using mlx-lm version 0.10.0.
Refer to the original model card for more details on the model.
## Use with mlx
| [
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text-generation | transformers | Mistral-7B Arabic [LAPT + FOCUS]
===
## How to use
```python
from peft import AutoPeftModelForCausalLM
from transformers import AutoTokenizer
model = AutoPeftModelForCausalLM.from_pretrained(
"atsuki-yamaguchi/Mistral-7B-v0.1-focus-ar"
)
tokenizer = AutoTokenizer.from_pretrained(
"aubmindlab/aragpt2-base"
)
... | {"language": "ar", "license": "mit"} | atsuki-yamaguchi/Mistral-7B-v0.1-focus-ar | null | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"ar",
"arxiv:2402.10712",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-21T17:24:36+00:00 | [
"2402.10712"
] | [
"ar"
] | TAGS
#transformers #safetensors #mistral #text-generation #ar #arxiv-2402.10712 #license-mit #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| Mistral-7B Arabic [LAPT + FOCUS]
===
## How to use
## Link
For more details, please visit URL
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] |
text-generation | transformers |
## Exllama v2 Quantizations of OrpoLlama-3-8B
Using <a href="https://github.com/turboderp/exllamav2/releases/tag/v0.0.19">turboderp's ExLlamaV2 v0.0.19</a> for quantization.
<b>The "main" branch only contains the measurement.json, download one of the other branches for the model (see below)</b>
Each branch contains... | {"language": ["en"], "license": "other", "library_name": "transformers", "tags": ["orpo", "llama 3", "rlhf", "sft"], "datasets": ["mlabonne/orpo-dpo-mix-40k"], "quantized_by": "bartowski", "pipeline_tag": "text-generation"} | bartowski/OrpoLlama-3-8B-exl2 | null | [
"transformers",
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"llama 3",
"rlhf",
"sft",
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"license:other",
"endpoints_compatible",
"region:us"
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"en"
] | TAGS
#transformers #orpo #llama 3 #rlhf #sft #text-generation #en #dataset-mlabonne/orpo-dpo-mix-40k #license-other #endpoints_compatible #region-us
| Exllama v2 Quantizations of OrpoLlama-3-8B
------------------------------------------
Using <a href="URL ExLlamaV2 v0.0.19 for quantization.
**The "main" branch only contains the URL, download one of the other branches for the model (see below)**
Each branch contains an individual bits per weight, with the main o... | [] | [
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] |
text-to-image | diffusers |
# 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 🧨 diffusers model that has been pushed on the Hub. This model card has been automatically generated.
... | {"library_name": "diffusers"} | Sofoklis/rna_bp_nl | null | [
"diffusers",
"safetensors",
"arxiv:1910.09700",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
] | null | 2024-04-21T17:25:03+00:00 | [
"1910.09700"
] | [] | TAGS
#diffusers #safetensors #arxiv-1910.09700 #endpoints_compatible #diffusers-StableDiffusionPipeline #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a diffusers 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:
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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-mouse-enhancers
This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/dis... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "model-index": [{"name": "distilbert-mouse-enhancers", "results": []}]} | addykan/distilbert-mouse-enhancers | null | [
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"pytorch",
"distilbert",
"text-classification",
"generated_from_trainer",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
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| distilbert-mouse-enhancers
==========================
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: 0.6932
* Accuracy: 0.5
Model description
-----------------
More information needed
Intended use... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-06\n* train\\_batch\\_size: 4\n* eval\\_batch\\_size: 4\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 50",
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text-generation | transformers | TigerBot-7B Arabic [LAPT + CLP+ (Untied)]
===
## How to use
```python
from peft import AutoPeftModelForCausalLM
from transformers import AutoTokenizer
model = AutoPeftModelForCausalLM.from_pretrained(
"atsuki-yamaguchi/tigerbot-7b-base-clpp-untied-ar"
)
tokenizer = AutoTokenizer.from_pretrained(
"aubmindlab/a... | {"language": "ar", "license": "mit"} | atsuki-yamaguchi/tigerbot-7b-base-clpp-untied-ar | null | [
"transformers",
"safetensors",
"llama",
"text-generation",
"ar",
"arxiv:2402.10712",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-21T17:25:43+00:00 | [
"2402.10712"
] | [
"ar"
] | TAGS
#transformers #safetensors #llama #text-generation #ar #arxiv-2402.10712 #license-mit #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| TigerBot-7B Arabic [LAPT + CLP+ (Untied)]
===
## How to use
## Link
For more details, please visit URL
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] |
text-generation | transformers | Mistral-7B Swahili [LAPT + CLP]
===
## How to use
```python
from peft import AutoPeftModelForCausalLM
from transformers import AutoTokenizer
model = AutoPeftModelForCausalLM.from_pretrained(
"atsuki-yamaguchi/Mistral-7B-v0.1-clp-sw"
)
tokenizer = AutoTokenizer.from_pretrained(
"atsuki-yamaguchi/Mistral-7B-v0.... | {"language": "sw", "license": "mit"} | atsuki-yamaguchi/Mistral-7B-v0.1-clp-sw | null | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"sw",
"arxiv:2402.10712",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-21T17:25:51+00:00 | [
"2402.10712"
] | [
"sw"
] | TAGS
#transformers #safetensors #mistral #text-generation #sw #arxiv-2402.10712 #license-mit #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| Mistral-7B Swahili [LAPT + CLP]
===
## How to use
## Link
For more details, please visit URL
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] |
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": []} | AlGatone21/SwissFinBERT_v1 | null | [
"transformers",
"safetensors",
"distilbert",
"text-classification",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-21T17:26:27+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #distilbert #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... | [
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text-generation | transformers | TigerBot-7B German [LAPT + Heuristics (Untied)]
===
## How to use
```python
from peft import AutoPeftModelForCausalLM
from transformers import AutoTokenizer
model = AutoPeftModelForCausalLM.from_pretrained(
"atsuki-yamaguchi/tigerbot-7b-base-heuristics-untied-de"
)
tokenizer = AutoTokenizer.from_pretrained(
"... | {"language": "de", "license": "mit"} | atsuki-yamaguchi/tigerbot-7b-base-heuristics-untied-de | null | [
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"text-generation",
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"arxiv:2402.10712",
"license:mit",
"autotrain_compatible",
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"region:us"
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"2402.10712"
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#transformers #safetensors #llama #text-generation #de #arxiv-2402.10712 #license-mit #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| TigerBot-7B German [LAPT + Heuristics (Untied)]
===
## How to use
## Link
For more details, please visit URL
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] |
null | transformers |
# Uploaded model
- **Developed by:** feliphe-galiza
- **License:** apache-2.0
- **Finetuned from model :** unsloth/llama-3-8b-bnb-4bit
This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/un... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl"], "base_model": "unsloth/llama-3-8b-bnb-4bit"} | feliphe-galiza/llama-3-italian-hypernyms | null | [
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] | TAGS
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|
# Uploaded model
- Developed by: feliphe-galiza
- License: apache-2.0
- Finetuned from model : unsloth/llama-3-8b-bnb-4bit
This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
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text-generation | transformers | AI Model Name: Llama 3 8B "Built with Meta Llama 3" https://llama.meta.com/llama3/license/
Baseline evaluation results:
```
hf (pretrained=meta-llama/Meta-Llama-3-8B-Instruct), gen_kwargs: (None), limit: None, num_fewshot: None, batch_size: 16
| Tasks |Version|Filter|n-shot| Metric |Value | |Stderr|
|--------... | {} | catid/cat-llama-3-8b-instruct-aqlm-noft | null | [
"transformers",
"safetensors",
"llama",
"text-generation",
"conversational",
"autotrain_compatible",
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#transformers #safetensors #llama #text-generation #conversational #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| AI Model Name: Llama 3 8B "Built with Meta Llama 3" URL
Baseline evaluation results:
This repo evaluation results (AQLM with no global fine-tuning):
To reproduce evaluation results:
You can run this model as a 'transformers' model using URL
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feature-extraction | 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": []} | akankshya107/my-finetuned-bert | null | [
"transformers",
"safetensors",
"bert",
"feature-extraction",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-04-21T17:30:38+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #bert #feature-extraction #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... | [
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text-generation | transformers | Mistral-7B Arabic [LAPT + Random]
===
## How to use
```python
from peft import AutoPeftModelForCausalLM
from transformers import AutoTokenizer
model = AutoPeftModelForCausalLM.from_pretrained(
"atsuki-yamaguchi/Mistral-7B-v0.1-random-ar"
)
tokenizer = AutoTokenizer.from_pretrained(
"aubmindlab/aragpt2-base"
)... | {"language": "ar", "license": "mit"} | atsuki-yamaguchi/Mistral-7B-v0.1-random-ar | null | [
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"arxiv:2402.10712",
"license:mit",
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"endpoints_compatible",
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"region:us"
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#transformers #safetensors #mistral #text-generation #ar #arxiv-2402.10712 #license-mit #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| Mistral-7B Arabic [LAPT + Random]
===
## How to use
## Link
For more details, please visit URL
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] |
text-generation | transformers | TigerBot-7B Arabic [LAPT + Heuristics (Untied)]
===
## How to use
```python
from peft import AutoPeftModelForCausalLM
from transformers import AutoTokenizer
model = AutoPeftModelForCausalLM.from_pretrained(
"atsuki-yamaguchi/tigerbot-7b-base-heuristics-untied-ar"
)
tokenizer = AutoTokenizer.from_pretrained(
"... | {"language": "ar", "license": "mit"} | atsuki-yamaguchi/tigerbot-7b-base-heuristics-untied-ar | null | [
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"safetensors",
"llama",
"text-generation",
"ar",
"arxiv:2402.10712",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
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"2402.10712"
] | [
"ar"
] | TAGS
#transformers #safetensors #llama #text-generation #ar #arxiv-2402.10712 #license-mit #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| TigerBot-7B Arabic [LAPT + Heuristics (Untied)]
===
## How to use
## Link
For more details, please visit URL
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] |
text-generation | transformers | TigerBot-7B Japanese [LAPT + CLP+ (Untied)]
===
## How to use
```python
from peft import AutoPeftModelForCausalLM
from transformers import AutoTokenizer
model = AutoPeftModelForCausalLM.from_pretrained(
"atsuki-yamaguchi/tigerbot-7b-base-clpp-untied-ja"
)
tokenizer = AutoTokenizer.from_pretrained(
"atsuki-yam... | {"language": "ja", "license": "mit"} | atsuki-yamaguchi/tigerbot-7b-base-clpp-untied-ja | null | [
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"safetensors",
"llama",
"text-generation",
"ja",
"arxiv:2402.10712",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-21T17:32:35+00:00 | [
"2402.10712"
] | [
"ja"
] | TAGS
#transformers #safetensors #llama #text-generation #ja #arxiv-2402.10712 #license-mit #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| TigerBot-7B Japanese [LAPT + CLP+ (Untied)]
===
## How to use
## Link
For more details, please visit URL
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] |
text-generation | transformers |
# Uploaded model
- **Developed by:** reallad
- **License:** apache-2.0
- **Finetuned from model :** unsloth/llama-3-8b-Instruct-bnb-4bit
This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl", "sft"], "base_model": "unsloth/llama-3-8b-Instruct-bnb-4bit"} | reallad/blopsy-1.4 | null | [
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"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-21T17:32:51+00:00 | [] | [
"en"
] | TAGS
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|
# Uploaded model
- Developed by: reallad
- License: apache-2.0
- Finetuned from model : unsloth/llama-3-8b-Instruct-bnb-4bit
This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
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text-classification | setfit |
# SetFit with sentence-transformers/paraphrase-MiniLM-L3-v2
This is a [SetFit](https://github.com/huggingface/setfit) model that can be used for Text Classification. This SetFit model uses [sentence-transformers/paraphrase-MiniLM-L3-v2](https://huggingface.co/sentence-transformers/paraphrase-MiniLM-L3-v2) as the Sent... | {"library_name": "setfit", "tags": ["setfit", "sentence-transformers", "text-classification", "generated_from_setfit_trainer"], "metrics": ["accuracy"], "base_model": "sentence-transformers/paraphrase-MiniLM-L3-v2", "widget": [{"text": "Tiong Bahru Plaza, DDC-L2-5, AHU-L2-03 trip alarm"}, {"text": "Tiong Bahru Plaza, D... | Varun1010/all-MiniLM-L6-v2-polaris-tb-new | null | [
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"bert",
"sentence-transformers",
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"generated_from_setfit_trainer",
"arxiv:2209.11055",
"base_model:sentence-transformers/paraphrase-MiniLM-L3-v2",
"model-index",
"region:us"
] | null | 2024-04-21T17:32:59+00:00 | [
"2209.11055"
] | [] | TAGS
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| SetFit with sentence-transformers/paraphrase-MiniLM-L3-v2
=========================================================
This is a SetFit model that can be used for Text Classification. This SetFit model uses sentence-transformers/paraphrase-MiniLM-L3-v2 as the Sentence Transformer embedding model. A LogisticRegression in... | [
"### Model Description\n\n\n* Model Type: SetFit\n* Sentence Transformer body: sentence-transformers/paraphrase-MiniLM-L3-v2\n* Classification head: a LogisticRegression instance\n* Maximum Sequence Length: 128 tokens\n* Number of Classes: 47 classes",
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null | adapter-transformers |
# Adapter `BigTMiami/n_par_bn_v_1_help_class_20_e_adp_lr_0003_S_3` for roberta-base
An [adapter](https://adapterhub.ml) for the `roberta-base` model that was trained on the [BigTMiami/amazon_MICRO_helpfulness_dataset](https://huggingface.co/datasets/BigTMiami/amazon_MICRO_helpfulness_dataset/) dataset and includes a ... | {"tags": ["adapter-transformers", "roberta"], "datasets": ["BigTMiami/amazon_MICRO_helpfulness_dataset"]} | BigTMiami/n_par_bn_v_1_help_class_20_e_adp_lr_0003_S_3 | null | [
"adapter-transformers",
"roberta",
"dataset:BigTMiami/amazon_MICRO_helpfulness_dataset",
"region:us"
] | null | 2024-04-21T17:33:09+00:00 | [] | [] | TAGS
#adapter-transformers #roberta #dataset-BigTMiami/amazon_MICRO_helpfulness_dataset #region-us
|
# Adapter 'BigTMiami/n_par_bn_v_1_help_class_20_e_adp_lr_0003_S_3' for roberta-base
An adapter for the 'roberta-base' model that was trained on the BigTMiami/amazon_MICRO_helpfulness_dataset dataset and includes a prediction head for classification.
This adapter was created for usage with the Adapters library.
## U... | [
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null | transformers | A safetensors conversion of t5xxl for a personal project | {} | HDiffusion/t5-v1_1-xxl_safetensors | null | [
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feature-extraction | 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": []} | Ehsanl/m3-ranker-fl18-e1 | null | [
"transformers",
"safetensors",
"xlm-roberta",
"feature-extraction",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-04-21T17:35:44+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #xlm-roberta #feature-extraction #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... | [
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text-generation | transformers | # eq90parsedanube
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
First one that's shown promising capability improvement over the base model `h2o-danube2-1.8b-base`.
Training methodology ... is a bit of a mess, trying out different things.
I'm adding the d... | {"license": "apache-2.0", "library_name": "transformers", "tags": ["mergekit", "merge"], "datasets": ["HuggingFaceTB/cosmopedia-100k", "Vezora/Tested-22k-Python-Alpaca", "sordonia/redpajama-sample_from_valid_all", "nampdn-ai/tiny-bridgedict", "teknium/GPTeacher-General-Instruct", "Severian/Internal-Knowledge-Map", "Sev... | Lambent/danube2-upscale-1.7 | null | [
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"dataset:sordonia/redpajama-sample_from_valid_all",
"dataset:nampdn-ai/tiny-bridgedict",
"dataset:teknium/GPTeacher-General-Instru... | null | 2024-04-21T17:35:46+00:00 | [
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===============
This is a merge of pre-trained language models created using mergekit.
First one that's shown promising capability improvement over the base model 'h2o-danube2-1.8b-base'.
Training methodology ... is a bit of a mess, trying out different things.
I'm adding the datasets used at any ... | [
"### EQ-Bench\n\n\n\nAverage: 15.52%\n\n\nAverage score: 15.52%\n\n\nMerge Details\n-------------",
"### Merge Method\n\n\nThis model was merged using the linear merge method.",
"### Models Merged\n\n\nThe following models were included in the merge:\n\n\n* Lambent/danube2-upscale-1.53lisa\n* Lambent/danube2-up... | [
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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": []} | khairi/ProtNLA_t12x12_terms_v2 | null | [
"transformers",
"safetensors",
"encoder-decoder",
"text2text-generation",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
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"1910.09700"
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#transformers #safetensors #encoder-decoder #text2text-generation #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... | [
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text-generation | transformers | Mistral-7B Arabic [LAPT + CLP+ (Untied)]
===
## How to use
```python
from peft import AutoPeftModelForCausalLM
from transformers import AutoTokenizer
model = AutoPeftModelForCausalLM.from_pretrained(
"atsuki-yamaguchi/Mistral-7B-v0.1-clpp-untied-ar"
)
tokenizer = AutoTokenizer.from_pretrained(
"aubmindlab/ara... | {"language": "ar", "license": "mit"} | atsuki-yamaguchi/Mistral-7B-v0.1-clpp-untied-ar | null | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"ar",
"arxiv:2402.10712",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-21T17:37:25+00:00 | [
"2402.10712"
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#transformers #safetensors #mistral #text-generation #ar #arxiv-2402.10712 #license-mit #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| Mistral-7B Arabic [LAPT + CLP+ (Untied)]
===
## How to use
## Link
For more details, please visit URL
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] |
text-generation | transformers | Mistral-7B Arabic [LAPT + CLP]
===
## How to use
```python
from peft import AutoPeftModelForCausalLM
from transformers import AutoTokenizer
model = AutoPeftModelForCausalLM.from_pretrained(
"atsuki-yamaguchi/Mistral-7B-v0.1-clp-ar"
)
tokenizer = AutoTokenizer.from_pretrained(
"aubmindlab/aragpt2-base"
)
# w/... | {"language": "ar", "license": "mit"} | atsuki-yamaguchi/Mistral-7B-v0.1-clp-ar | null | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"ar",
"arxiv:2402.10712",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-21T17:37:46+00:00 | [
"2402.10712"
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"ar"
] | TAGS
#transformers #safetensors #mistral #text-generation #ar #arxiv-2402.10712 #license-mit #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| Mistral-7B Arabic [LAPT + CLP]
===
## How to use
## Link
For more details, please visit URL
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] |
text-generation | transformers | TigerBot-7B Japanese [LAPT + Heuristics (Untied)]
===
## How to use
```python
from peft import AutoPeftModelForCausalLM
from transformers import AutoTokenizer
model = AutoPeftModelForCausalLM.from_pretrained(
"atsuki-yamaguchi/tigerbot-7b-base-heuristics-untied-ja"
)
tokenizer = AutoTokenizer.from_pretrained(
... | {"language": "ja", "license": "mit"} | atsuki-yamaguchi/tigerbot-7b-base-heuristics-untied-ja | null | [
"transformers",
"safetensors",
"llama",
"text-generation",
"ja",
"arxiv:2402.10712",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-21T17:38:06+00:00 | [
"2402.10712"
] | [
"ja"
] | TAGS
#transformers #safetensors #llama #text-generation #ja #arxiv-2402.10712 #license-mit #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| TigerBot-7B Japanese [LAPT + Heuristics (Untied)]
===
## How to use
## Link
For more details, please visit URL
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] |
text-generation | transformers |
# Uploaded model
- **Developed by:** Mandalor09
- **License:** apache-2.0
- **Finetuned from model :** unsloth/llama-2-7b-bnb-4bit
This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unslot... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl", "sft"], "base_model": "unsloth/llama-2-7b-bnb-4bit"} | Mandalor09/Bargening-Model-llama2 | null | [
"transformers",
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"trl",
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"base_model:unsloth/llama-2-7b-bnb-4bit",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-21T17:38:42+00:00 | [] | [
"en"
] | TAGS
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|
# Uploaded model
- Developed by: Mandalor09
- License: apache-2.0
- Finetuned from model : unsloth/llama-2-7b-bnb-4bit
This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
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text-to-speech | speechbrain | <iframe src="https://ghbtns.com/github-btn.html?user=speechbrain&repo=speechbrain&type=star&count=true&size=large&v=2" frameborder="0" scrolling="0" width="170" height="30" title="GitHub"></iframe>
<br/><br/>
# Text-to-Speech (TTS) with Transformer trained on LJSpeech
This repository provides all the necessary tools ... | {"language": "en", "license": "apache-2.0", "library_name": "speechbrain", "tags": ["text-to-speech", "TTS", "speech-synthesis", "Tacotron2", "speechbrain"], "datasets": ["LJSpeech"], "metrics": ["mos"], "pipeline_tag": "text-to-speech"} | Krisshvamsi/TTS | null | [
"speechbrain",
"text-to-speech",
"TTS",
"speech-synthesis",
"Tacotron2",
"en",
"dataset:LJSpeech",
"arxiv:1809.08895",
"arxiv:2106.04624",
"license:apache-2.0",
"region:us"
] | null | 2024-04-21T17:40:28+00:00 | [
"1809.08895",
"2106.04624"
] | [
"en"
] | TAGS
#speechbrain #text-to-speech #TTS #speech-synthesis #Tacotron2 #en #dataset-LJSpeech #arxiv-1809.08895 #arxiv-2106.04624 #license-apache-2.0 #region-us
| <iframe src="URL frameborder="0" scrolling="0" width="170" height="30" title="GitHub"></iframe>
<br/><br/>
# Text-to-Speech (TTS) with Transformer trained on LJSpeech
This repository provides all the necessary tools for Text-to-Speech (TTS) with SpeechBrain using a Transformer pretrained on LJSpeech.
The pre-traine... | [
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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="cuckookernel/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": ... | cuckookernel/q-FrozenLake-v1-4x4-noSlippery | null | [
"FrozenLake-v1-4x4-no_slippery",
"q-learning",
"reinforcement-learning",
"custom-implementation",
"model-index",
"region:us"
] | null | 2024-04-21T17:40:49+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
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] |
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": []} | akankshya107/llava_pt_1 | null | [
"transformers",
"safetensors",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-04-21T17:42:08+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.
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null | adapter-transformers |
# Adapter `BigTMiami/n_par_bn_v_1_help_class_5_e_adp_lr_0003_S_4` for roberta-base
An [adapter](https://adapterhub.ml) for the `roberta-base` model that was trained on the [BigTMiami/amazon_MICRO_helpfulness_dataset](https://huggingface.co/datasets/BigTMiami/amazon_MICRO_helpfulness_dataset/) dataset and includes a p... | {"tags": ["adapter-transformers", "roberta"], "datasets": ["BigTMiami/amazon_MICRO_helpfulness_dataset"]} | BigTMiami/n_par_bn_v_1_help_class_5_e_adp_lr_0003_S_4 | null | [
"adapter-transformers",
"roberta",
"dataset:BigTMiami/amazon_MICRO_helpfulness_dataset",
"region:us"
] | null | 2024-04-21T17:42:40+00:00 | [] | [] | TAGS
#adapter-transformers #roberta #dataset-BigTMiami/amazon_MICRO_helpfulness_dataset #region-us
|
# Adapter 'BigTMiami/n_par_bn_v_1_help_class_5_e_adp_lr_0003_S_4' for roberta-base
An adapter for the 'roberta-base' model that was trained on the BigTMiami/amazon_MICRO_helpfulness_dataset dataset and includes a prediction head for classification.
This adapter was created for usage with the Adapters library.
## Us... | [
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text-generation | transformers | TigerBot-7B Swahili [LAPT + CLP+ (Untied)]
===
## How to use
```python
from peft import AutoPeftModelForCausalLM
from transformers import AutoTokenizer
model = AutoPeftModelForCausalLM.from_pretrained(
"atsuki-yamaguchi/tigerbot-7b-base-clpp-untied-sw"
)
tokenizer = AutoTokenizer.from_pretrained(
"atsuki-yama... | {"language": "sw", "license": "mit"} | atsuki-yamaguchi/tigerbot-7b-base-clpp-untied-sw | null | [
"transformers",
"safetensors",
"llama",
"text-generation",
"sw",
"arxiv:2402.10712",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-21T17:43:58+00:00 | [
"2402.10712"
] | [
"sw"
] | TAGS
#transformers #safetensors #llama #text-generation #sw #arxiv-2402.10712 #license-mit #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| TigerBot-7B Swahili [LAPT + CLP+ (Untied)]
===
## How to use
## Link
For more details, please visit URL
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] |
text-generation | transformers | Mistral-7B Arabic [LAPT + Heuristics (Untied)]
===
## How to use
```python
from peft import AutoPeftModelForCausalLM
from transformers import AutoTokenizer
model = AutoPeftModelForCausalLM.from_pretrained(
"atsuki-yamaguchi/Mistral-7B-v0.1-heuristics-untied-ar"
)
tokenizer = AutoTokenizer.from_pretrained(
"au... | {"language": "ar", "license": "mit"} | atsuki-yamaguchi/Mistral-7B-v0.1-heuristics-untied-ar | null | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"ar",
"arxiv:2402.10712",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-21T17:44:23+00:00 | [
"2402.10712"
] | [
"ar"
] | TAGS
#transformers #safetensors #mistral #text-generation #ar #arxiv-2402.10712 #license-mit #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| Mistral-7B Arabic [LAPT + Heuristics (Untied)]
===
## How to use
## Link
For more details, please visit URL
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] |
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": "deepseek-ai/deepseek-coder-1.3b-instruct"} | CMU-AIR2/math-deepseek-lora-arith-simple-hard-5-step | null | [
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"safetensors",
"llama",
"arxiv:1910.09700",
"base_model:deepseek-ai/deepseek-coder-1.3b-instruct",
"region:us"
] | null | 2024-04-21T17:44:35+00:00 | [
"1910.09700"
] | [] | TAGS
#peft #safetensors #llama #arxiv-1910.09700 #base_model-deepseek-ai/deepseek-coder-1.3b-instruct #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]:
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null | null | # LLaMA3 License and Usage
## Introduction
The LLaMA3 model is equipped to deliver superior results in machine learning applications. This model is particularly effective when used in conjunction with the IF_AI_tools custom node for ComfyUI and the IF_PromptMKr, m... | {} | impactframes/llama3_if_ai_sdpromptmkr_q4km | null | [
"gguf",
"region:us"
] | null | 2024-04-21T17:45:05+00:00 | [] | [] | TAGS
#gguf #region-us
| # LLaMA3 License and Usage
!Model Visualization
## Introduction
The LLaMA3 model is equipped to deliver superior results in machine learning applications. This model is particularly effective when used in conjunction with the IF_AI_tools custom node for ComfyUI and the IF_PromptMKr, my extension for A1111 Forge and Nex... | [
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feature-extraction | 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": []} | stvhuang/rcr-run-5pqr6lwp-90396-master-0_20240402T105012-ep27 | null | [
"transformers",
"safetensors",
"xlm-roberta",
"feature-extraction",
"arxiv:1910.09700",
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|
# 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.
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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": []} | Grayx/sad_llama_18.0 | null | [
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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": []} | Enagamirzayev/whisper-small-llm-lingo-adapters_tt | null | [
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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object-detection | 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. -->
# detr
This model is a fine-tuned version of [facebook/detr-resnet-50](https://huggingface.co/facebook/detr-resnet-50) on an unkno... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "facebook/detr-resnet-50", "model-index": [{"name": "detr", "results": []}]} | Teele/detr | null | [
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| detr
====
This model is a fine-tuned version of facebook/detr-resnet-50 on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.9664
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More information needed
... | [
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text-generation | transformers | TigerBot-7B Swahili [LAPT + Heuristics (Untied)]
===
## How to use
```python
from peft import AutoPeftModelForCausalLM
from transformers import AutoTokenizer
model = AutoPeftModelForCausalLM.from_pretrained(
"atsuki-yamaguchi/tigerbot-7b-base-heuristics-untied-sw"
)
tokenizer = AutoTokenizer.from_pretrained(
... | {"language": "sw", "license": "mit"} | atsuki-yamaguchi/tigerbot-7b-base-heuristics-untied-sw | null | [
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#transformers #safetensors #llama #text-generation #sw #arxiv-2402.10712 #license-mit #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| TigerBot-7B Swahili [LAPT + Heuristics (Untied)]
===
## How to use
## Link
For more details, please visit URL
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] |
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": []} | SkwarczynskiP/bert-base-uncased-finetuned-vedantgaur-AI-generated | null | [
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|
# 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... | [
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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. -->
# asr_wav2vec2_base_1.4
This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-ba... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["wer"], "base_model": "facebook/wav2vec2-base", "model-index": [{"name": "asr_wav2vec2_base_1.4", "results": []}]} | Myriam123/asr_wav2vec2_base_1.4 | null | [
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"safetensors",
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"generated_from_trainer",
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| asr\_wav2vec2\_base\_1.4
========================
This model is a fine-tuned version of facebook/wav2vec2-base on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.2687
* Wer: 0.2410
* Cer: 0.0769
Model description
-----------------
More information needed
Intended uses & ... | [
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null | null |
# Orpo-GutenLlama-3-8B-v2-GGUF
[Original Repo](https://huggingface.co/macadeliccc/Orpo-GutenLlama-3-8B-v2) | {"license": "other", "datasets": ["mlabonne/orpo-dpo-mix-40k", "jondurbin/gutenberg-dpo-v0.1"], "license_name": "llama3", "license_link": "https://huggingface.co/meta-llama/Meta-Llama-3-8B/blob/main/LICENSE"} | macadeliccc/Orpo-GutenLlama-3-8B-v2-GGUF | null | [
"gguf",
"dataset:mlabonne/orpo-dpo-mix-40k",
"dataset:jondurbin/gutenberg-dpo-v0.1",
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|
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] |
null | adapter-transformers |
# Adapter `BigTMiami/n_par_bn_v_1_help_class_20_e_adp_lr_0003_S_4` for roberta-base
An [adapter](https://adapterhub.ml) for the `roberta-base` model that was trained on the [BigTMiami/amazon_MICRO_helpfulness_dataset](https://huggingface.co/datasets/BigTMiami/amazon_MICRO_helpfulness_dataset/) dataset and includes a ... | {"tags": ["adapter-transformers", "roberta"], "datasets": ["BigTMiami/amazon_MICRO_helpfulness_dataset"]} | BigTMiami/n_par_bn_v_1_help_class_20_e_adp_lr_0003_S_4 | null | [
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"roberta",
"dataset:BigTMiami/amazon_MICRO_helpfulness_dataset",
"region:us"
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|
# Adapter 'BigTMiami/n_par_bn_v_1_help_class_20_e_adp_lr_0003_S_4' for roberta-base
An adapter for the 'roberta-base' model that was trained on the BigTMiami/amazon_MICRO_helpfulness_dataset dataset and includes a prediction head for classification.
This adapter was created for usage with the Adapters library.
## U... | [
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token-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": []} | KaggleMasterX/BERT_AllTasks | null | [
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"safetensors",
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"arxiv:1910.09700",
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"region:us"
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|
# 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.
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text-generation | transformers | Mistral-7B German [LAPT + Heuristics (Untied)]
===
## How to use
```python
from peft import AutoPeftModelForCausalLM
from transformers import AutoTokenizer
model = AutoPeftModelForCausalLM.from_pretrained(
"atsuki-yamaguchi/Mistral-7B-v0.1-heuristics-untied-de"
)
tokenizer = AutoTokenizer.from_pretrained(
"at... | {"language": "de", "license": "mit"} | atsuki-yamaguchi/Mistral-7B-v0.1-heuristics-untied-de | null | [
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"safetensors",
"mistral",
"text-generation",
"de",
"arxiv:2402.10712",
"license:mit",
"autotrain_compatible",
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"region:us"
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| Mistral-7B German [LAPT + Heuristics (Untied)]
===
## How to use
## Link
For more details, please visit URL
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] |
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": []} | arusso/tn_fine_tuned_text_classification_llama2_7b_children_s48_20240305_1_merged | null | [
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"region:us"
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"1910.09700"
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#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... | [
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automatic-speech-recognition | 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": []} | Enagamirzayev/whisper-small-llm-lingo_tt | null | [
"transformers",
"safetensors",
"whisper",
"automatic-speech-recognition",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-04-21T17:58:36+00:00 | [
"1910.09700"
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#transformers #safetensors #whisper #automatic-speech-recognition #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... | [
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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="cuckookernel/hf-drl-unit-2-taxi-v3", filename="q-learning.pkl")
# Don't forget to check if you need to add additional attributes (is_slip... | {"tags": ["Taxi-v3", "q-learning", "reinforcement-learning", "custom-implementation"], "model-index": [{"name": "hf-drl-unit-2-taxi-v3", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "Taxi-v3", "type": "Taxi-v3"}, "metrics": [{"type": "mean_reward", "valu... | cuckookernel/hf-drl-unit-2-taxi-v3 | null | [
"Taxi-v3",
"q-learning",
"reinforcement-learning",
"custom-implementation",
"model-index",
"region:us"
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#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
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] |
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