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feature-extraction | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# finetuned_bge_ver11_continue2
This model is a fine-tuned version of [comet24082002/finetuned_bge_ver11](https://huggingface.co/c... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "comet24082002/finetuned_bge_ver11", "model-index": [{"name": "finetuned_bge_ver11_continue2", "results": []}]} | comet24082002/finetuned_bge_ver11_continue2 | null | [
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"xlm-roberta",
"feature-extraction",
"generated_from_trainer",
"base_model:comet24082002/finetuned_bge_ver11",
"license:mit",
"endpoints_compatible",
"region:us"
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#transformers #safetensors #xlm-roberta #feature-extraction #generated_from_trainer #base_model-comet24082002/finetuned_bge_ver11 #license-mit #endpoints_compatible #region-us
|
# finetuned_bge_ver11_continue2
This model is a fine-tuned version of comet24082002/finetuned_bge_ver11 on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
###... | [
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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)
mistral-7b-sft-alpha - bnb 4bits
- Model creator: https://huggingface.co/HuggingFaceH4/
- Original model: https://huggingfac... | {} | RichardErkhov/HuggingFaceH4_-_mistral-7b-sft-alpha-4bits | null | [
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#transformers #safetensors #mistral #text-generation #conversational #autotrain_compatible #endpoints_compatible #text-generation-inference #4-bit #region-us
| Quantization made by Richard Erkhov.
Github
Discord
Request more models
mistral-7b-sft-alpha - bnb 4bits
* Model creator: URL
* Original model: URL
Original model description:
---------------------------
license: mit
base\_model: mistralai/Mistral-7B-v0.1
tags:
* generated\_from\_trainer
model-index:
* ... | [
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null | null |
# DavidAU/Mythical-Destroyer-L2-13B-Q6_K-GGUF
This model was converted to GGUF format from [`Sao10K/Mythical-Destroyer-L2-13B`](https://huggingface.co/Sao10K/Mythical-Destroyer-L2-13B) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original mo... | {"language": ["en"], "license": "llama2", "tags": ["llama-cpp", "gguf-my-repo"]} | DavidAU/Mythical-Destroyer-L2-13B-Q6_K-GGUF | null | [
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"region:us"
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] | TAGS
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|
# DavidAU/Mythical-Destroyer-L2-13B-Q6_K-GGUF
This model was converted to GGUF format from 'Sao10K/Mythical-Destroyer-L2-13B' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
CLI:
... | [
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... | [
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fill-mask | 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. -->
# Pretraining_Test_v1
This model is a fine-tuned version of [microsoft/deberta-base](https://huggingface.co/microsoft/deberta-base... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "microsoft/deberta-base", "model-index": [{"name": "Pretraining_Test_v1", "results": []}]} | JJ-Tae/Pretraining_Test_v1 | null | [
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|
# Pretraining_Test_v1
This model is a fine-tuned version of microsoft/deberta-base on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparame... | [
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null | null |
# DavidAU/Mythical-Destroyer-V2-L2-13B-Q6_K-GGUF
This model was converted to GGUF format from [`Sao10K/Mythical-Destroyer-V2-L2-13B`](https://huggingface.co/Sao10K/Mythical-Destroyer-V2-L2-13B) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [or... | {"language": ["en"], "license": "llama2", "tags": ["llama-cpp", "gguf-my-repo"]} | DavidAU/Mythical-Destroyer-V2-L2-13B-Q6_K-GGUF | null | [
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|
# DavidAU/Mythical-Destroyer-V2-L2-13B-Q6_K-GGUF
This model was converted to GGUF format from 'Sao10K/Mythical-Destroyer-V2-L2-13B' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
... | [
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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": []} | Thuy25/Donut2 | 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 |
## VAGO solutions SauerkrautLM-Qwen-32b
Introducing **SauerkrautLM-Qwen-32b** – our Sauerkraut version of the powerful [Qwen/Qwen1.5-32B](https://huggingface.co/Qwen/Qwen1.5-32B)!
The model **Sauer... | {"language": ["de", "en"], "license": "other", "tags": ["sft", "dpo"], "license_name": "tongyi-qianwen-research", "license_link": "https://huggingface.co/Qwen/Qwen1.5-32B/blob/main/LICENSE"} | blockblockblock/SauerkrautLM-Qwen-32b-bpw3.7 | null | [
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| !SauerkrautLM
VAGO solutions SauerkrautLM-Qwen-32b
------------------------------------
Introducing SauerkrautLM-Qwen-32b – our Sauerkraut version of the powerful Qwen/Qwen1.5-32B!
The model SauerkrautLM-Qwen-32b is a joint effort between VAGO solutions and URL.
* Finetuned with SFT
* Aligned with DPO
Table o... | [
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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)
mistral-7b-sft-alpha - bnb 8bits
- Model creator: https://huggingface.co/HuggingFaceH4/
- Original model: https://huggingfac... | {} | RichardErkhov/HuggingFaceH4_-_mistral-7b-sft-alpha-8bits | null | [
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#transformers #safetensors #mistral #text-generation #conversational #autotrain_compatible #endpoints_compatible #text-generation-inference #8-bit #region-us
| Quantization made by Richard Erkhov.
Github
Discord
Request more models
mistral-7b-sft-alpha - bnb 8bits
* Model creator: URL
* Original model: URL
Original model description:
---------------------------
license: mit
base\_model: mistralai/Mistral-7B-v0.1
tags:
* generated\_from\_trainer
model-index:
* ... | [
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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": []} | DPrimenko/sport_translation | 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.
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- Funded by [optional]:
- Shared by [optional]:
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- Language(s) (NLP):
- License... | [
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null | null |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# V0414H3
This model is a fine-tuned version of [microsoft/phi-2](https://huggingface.co/microsoft/phi-2) on an unknown dataset.
I... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "microsoft/phi-2", "model-index": [{"name": "V0414H3", "results": []}]} | Litzy619/V0414H3 | null | [
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| V0414H3
=======
This model is a fine-tuned version of microsoft/phi-2 on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1402
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More information needed
T... | [
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"TAGS\n#safetensors #generated_from_trainer #base_model-microsoft/phi-2 #license-mit #region-us \n### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.003\n* train\\_batch\\_size: 8\n* eval\\_batch\\_size: 8\n* seed: 42\n* gradient\\_accumulation\\_ste... |
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. -->
# MobileLLM_Finetune_onDialogueDataset
This model is a fine-tuned version of [jinunyachhyon/MobileLLM_Finetune_onDialogueDataset](... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "jinunyachhyon/MobileLLM_Finetune_onDialogueDataset", "model-index": [{"name": "MobileLLM_Finetune_onDialogueDataset", "results": []}]} | jinunyachhyon/MobileLLM_Finetune_onDialogueDataset | null | [
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"license:mit",
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| MobileLLM\_Finetune\_onDialogueDataset
======================================
This model is a fine-tuned version of jinunyachhyon/MobileLLM\_Finetune\_onDialogueDataset on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0765
Model description
-----------------
More informa... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\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: 5\n* mixed\\_precis... | [
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null | null |
<a href="https://seyanaegy.com ">مركز صيانة اجهزة بمصر</a>
<a href="https://washersfix.com ">مركز صيانة ثلاجات و غسالات</a>
<a href="https://siantk.com ">مركز صيانة اجهزة منزلية</a>
<a href="https://twekel.com "> توكيل الاجهزة المنزلية</a>
<a href="https://alsiyanuh.com ">مركز الصيانة للاجهزة الكهربائية </a>
<a hre... | {"license": "mit"} | MNRMM/Mnsbavja | null | [
"license:mit",
"region:us"
] | null | 2024-04-15T06:33:50+00:00 | [] | [] | TAGS
#license-mit #region-us
|
<a href="URL ">مركز صيانة اجهزة بمصر</a>
<a href="URL ">مركز صيانة ثلاجات و غسالات</a>
<a href="URL ">مركز صيانة اجهزة منزلية</a>
<a href="URL "> توكيل الاجهزة المنزلية</a>
<a href="URL ">مركز الصيانة للاجهزة الكهربائية </a>
<a href=" URL ">مركز صيانة بمصر</a>
<a href="URL ">توكيل اجهزة منزلية</a>
<a href="URL "> ص... | [] | [
"TAGS\n#license-mit #region-us \n"
] | [
9
] | [
"TAGS\n#license-mit #region-us \n"
] |
unconditional-image-generation | diffusers |
# Model Card for Unit 1 of the [Diffusion Models Class 🧨](https://github.com/huggingface/diffusion-models-class)
This model is a diffusion model for unconditional image generation of cute 🦋.
## Usage
```python
from diffusers import DDPMPipeline
pipeline = DDPMPipeline.from_pretrained('yantj/sd-class-butterflies-... | {"license": "mit", "tags": ["pytorch", "diffusers", "unconditional-image-generation", "diffusion-models-class"]} | yantj/sd-class-butterflies-32 | null | [
"diffusers",
"safetensors",
"pytorch",
"unconditional-image-generation",
"diffusion-models-class",
"license:mit",
"diffusers:DDPMPipeline",
"region:us"
] | null | 2024-04-15T06:34:55+00:00 | [] | [] | TAGS
#diffusers #safetensors #pytorch #unconditional-image-generation #diffusion-models-class #license-mit #diffusers-DDPMPipeline #region-us
|
# Model Card for Unit 1 of the Diffusion Models Class
This model is a diffusion model for unconditional image generation of cute .
## Usage
'''python
from diffusers import DDPMPipeline
pipeline = DDPMPipeline.from_pretrained('yantj/sd-class-butterflies-32')
image = pipeline().images[0]
image
| [
"# Model Card for Unit 1 of the Diffusion Models Class \n\nThis model is a diffusion model for unconditional image generation of cute .",
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text-generation | transformers | # merge
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* [WizardLM/WizardMath-7B-V1.1](https://huggin... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["WizardLM/WizardMath-7B-V1.1", "NousResearch/Hermes-2-Pro-Mistral-7B"]} | mergekit-community/mergekit-slerp-zevysvp | null | [
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"base_model:WizardLM/WizardMath-7B-V1.1",
"base_model:NousResearch/Hermes-2-Pro-Mistral-7B",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-15T06:35:21+00:00 | [] | [] | TAGS
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| # merge
This is a merge of pre-trained language models created using mergekit.
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* WizardLM/WizardMath-7B-V1.1
* NousResearch/Hermes-2-Pro-Mistral-7B
### Configura... | [
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null | null |
# DavidAU/NyakuraV2.1-m7-Q6_K-GGUF
This model was converted to GGUF format from [`Sao10K/NyakuraV2.1-m7`](https://huggingface.co/Sao10K/NyakuraV2.1-m7) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original model card](https://huggingface.co/... | {"language": ["en"], "license": "cc-by-nc-4.0", "tags": ["llama-cpp", "gguf-my-repo"]} | DavidAU/NyakuraV2.1-m7-Q6_K-GGUF | null | [
"gguf",
"llama-cpp",
"gguf-my-repo",
"en",
"license:cc-by-nc-4.0",
"region:us"
] | null | 2024-04-15T06:37:23+00:00 | [] | [
"en"
] | TAGS
#gguf #llama-cpp #gguf-my-repo #en #license-cc-by-nc-4.0 #region-us
|
# DavidAU/NyakuraV2.1-m7-Q6_K-GGUF
This model was converted to GGUF format from 'Sao10K/NyakuraV2.1-m7' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
CLI:
Server:
Note: Yo... | [
"# DavidAU/NyakuraV2.1-m7-Q6_K-GGUF\nThis model was converted to GGUF format from 'Sao10K/NyakuraV2.1-m7' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
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null | null | Quantization made by Richard Erkhov.
[Github](https://github.com/RichardErkhov)
[Discord](https://discord.gg/pvy7H8DZMG)
[Request more models](https://github.com/RichardErkhov/quant_request)
mistral-7b-sft-alpha - GGUF
- Model creator: https://huggingface.co/HuggingFaceH4/
- Original model: https://huggingface.co/... | {} | RichardErkhov/HuggingFaceH4_-_mistral-7b-sft-alpha-gguf | null | [
"gguf",
"region:us"
] | null | 2024-04-15T06:37:39+00:00 | [] | [] | TAGS
#gguf #region-us
| Quantization made by Richard Erkhov.
Github
Discord
Request more models
mistral-7b-sft-alpha - GGUF
* Model creator: URL
* Original model: URL
Name: mistral-7b-sft-alpha.Q2\_K.gguf, Quant method: Q2\_K, Size: 2.53GB
Name: mistral-7b-sft-alpha.IQ3\_XS.gguf, Quant method: IQ3\_XS, Size: 2.81GB
Name: mistral-7... | [
"### Model Sources\n\n\n* Repository: URL\n\n\nIntended uses & limitations\n---------------------------\n\n\nThe model was fine-tuned with TRL's 'SFTTrainer' on a filtered and preprocessed of the 'UltraChat' dataset, which contains a diverse range of synthetic dialogues generated by ChatGPT.\n\n\nHere's how you can... | [
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"### Model Sources\n\n\n* Repository: URL\n\n\nIntended uses & limitations\n---------------------------\n\n\nThe model was fine-tuned with TRL's 'SFTTrainer' on a filtered and preprocessed of the 'UltraChat' dataset, which contains a diverse range of synthetic dialogues generated by C... | [
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text-classification | transformers | # merge_out
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
## Merge Details
### Merge Method
This model was merged using the linear [DARE](https://arxiv.org/abs/2311.03099) merge method using [mllm-dev/gpt2_f_experiment_0](https://huggingface.co/mllm-dev/g... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["mllm-dev/gpt2_f_experiment_0", "mllm-dev/merge_diff_data_DROID", "mllm-dev/merge_diff_data_YELP"]} | mllm-dev/merge_yelp_droid_dare_linear | null | [
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"base_model:mllm-dev/merge_diff_data_YELP",
"autotrain_compatible",
"endpoints_compatible",
"text-gen... | null | 2024-04-15T06:38:22+00:00 | [
"2311.03099"
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| # merge_out
This is a merge of pre-trained language models created using mergekit.
## Merge Details
### Merge Method
This model was merged using the linear DARE merge method using mllm-dev/gpt2_f_experiment_0 as a base.
### Models Merged
The following models were included in the merge:
* mllm-dev/merge_diff_data_D... | [
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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": []} | heyllm234/sc20 | null | [
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"safetensors",
"stablelm",
"text-generation",
"conversational",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-15T06:38:22+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #stablelm #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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automatic-speech-recognition | transformers |
# whisper-tiny-german
This model is a German Speech Recognition model based on the [whisper-tiny](https://huggingface.co/openai/whisper-tiny) model.
The model weights count 37.8M parameters and with a size of 73MB in bfloat16 format.
As a follow-up to the [Whisper large v3 german](https://huggingface.co/primeline/wh... | {"language": ["de"], "license": "apache-2.0", "library_name": "transformers", "pipeline_tag": "automatic-speech-recognition"} | primeline/whisper-tiny-german | null | [
"transformers",
"safetensors",
"whisper",
"automatic-speech-recognition",
"de",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2024-04-15T06:38:34+00:00 | [] | [
"de"
] | TAGS
#transformers #safetensors #whisper #automatic-speech-recognition #de #license-apache-2.0 #endpoints_compatible #region-us
| whisper-tiny-german
===================
This model is a German Speech Recognition model based on the whisper-tiny model.
The model weights count 37.8M parameters and with a size of 73MB in bfloat16 format.
As a follow-up to the Whisper large v3 german we decided to create a tiny version to be used in edge cases whe... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 3e-05\n* total\\_train\\_batch\\_size: 512\n* num\\_epochs: 5.0",
"### Framework versions\n\n\n* Transformers 4.39.3\n* Pytorch 2.3.0a0+ebedce2\n* Datasets 2.18.0\n* Tokenizers 0.15.2",
"### How t... | [
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null | null |
# DavidAU/R17AST-Mistral-7B-Q6_K-GGUF
This model was converted to GGUF format from [`Sao10K/R17AST-Mistral-7B`](https://huggingface.co/Sao10K/R17AST-Mistral-7B) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original model card](https://huggin... | {"language": ["en"], "license": "apache-2.0", "tags": ["llama-cpp", "gguf-my-repo"]} | DavidAU/R17AST-Mistral-7B-Q6_K-GGUF | null | [
"gguf",
"llama-cpp",
"gguf-my-repo",
"en",
"license:apache-2.0",
"region:us"
] | null | 2024-04-15T06:39:01+00:00 | [] | [
"en"
] | TAGS
#gguf #llama-cpp #gguf-my-repo #en #license-apache-2.0 #region-us
|
# DavidAU/R17AST-Mistral-7B-Q6_K-GGUF
This model was converted to GGUF format from 'Sao10K/R17AST-Mistral-7B' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
CLI:
Server:
No... | [
"# DavidAU/R17AST-Mistral-7B-Q6_K-GGUF\nThis model was converted to GGUF format from 'Sao10K/R17AST-Mistral-7B' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
"## Use with URL\n\nInstall URL through brew.\n\n\nInvoke the URL server or the CLI.\n\nCLI... | [
"TAGS\n#gguf #llama-cpp #gguf-my-repo #en #license-apache-2.0 #region-us \n",
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null | null |
# DavidAU/SOLAR-10.7B-NahIdWin-Q6_K-GGUF
This model was converted to GGUF format from [`Sao10K/SOLAR-10.7B-NahIdWin`](https://huggingface.co/Sao10K/SOLAR-10.7B-NahIdWin) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original model card](https... | {"language": ["en"], "license": "cc-by-nc-4.0", "tags": ["llama-cpp", "gguf-my-repo"]} | DavidAU/SOLAR-10.7B-NahIdWin-Q6_K-GGUF | null | [
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|
# DavidAU/SOLAR-10.7B-NahIdWin-Q6_K-GGUF
This model was converted to GGUF format from 'Sao10K/SOLAR-10.7B-NahIdWin' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
CLI:
Server:... | [
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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-finetuned-eurosat
This model is a fine-tuned version of [microsoft/swin-tiny-patch4-window7-224](ht... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["imagefolder"], "metrics": ["accuracy"], "base_model": "microsoft/swin-tiny-patch4-window7-224", "model-index": [{"name": "swin-tiny-patch4-window7-224-finetuned-eurosat", "results": [{"task": {"type": "image-classification", "name": "Image Clas... | bbrenes/swin-tiny-patch4-window7-224-finetuned-eurosat | null | [
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| swin-tiny-patch4-window7-224-finetuned-eurosat
==============================================
This model is a fine-tuned version of microsoft/swin-tiny-patch4-window7-224 on the imagefolder dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0605
* Accuracy: 0.9789
Model description
------... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 32\n* eval\\_batch\\_size: 32\n* seed: 42\n* gradient\\_accumulation\\_steps: 4\n* total\\_train\\_batch\\_size: 128\n* optimizer: Adam with betas=(0.9,0.999) and epsilo... | [
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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. -->
# bert2bert-model1.5
This model was trained from scratch on the id_liputan6 dataset.
It achieves the following results on the eval... | {"tags": ["generated_from_trainer"], "datasets": ["id_liputan6"], "model-index": [{"name": "bert2bert-model1.5", "results": []}]} | Alfahluzi/bert2bert-model1.5 | null | [
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| bert2bert-model1.5
==================
This model was trained from scratch on the id\_liputan6 dataset.
It achieves the following results on the evaluation set:
* Loss: 3.0718
* R1 Precision: 0.3803
* R1 Recall: 0.2608
* R1 Fmeasure: 0.3076
* R2 Precision: 0.1547
* R2 Recall: 0.1037
* R2 Fmeasure: 0.1233
* Rl Precis... | [
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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": []} | adammoss/patch-pretrain-mask-3 | 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 | # RESMPDEV/Wukong-0.1-Mistral-7B-v0.2 AWQ
- Model creator: [RESMPDEV](https://huggingface.co/RESMPDEV)
- Original model: [Wukong-0.1-Mistral-7B-v0.2](https://huggingface.co/RESMPDEV/Wukong-0.1-Mistral-7B-v0.2)
![image/jpeg](https://cdn-uploads.huggingface.co/production/uploads/655dc641accde1bbc8b41aec/xOe1Nb3S9Nb53us... | {"license": "apache-2.0", "library_name": "transformers", "tags": ["mistral", "4-bit", "AWQ", "text-generation", "autotrain_compatible", "endpoints_compatible", "chatml"], "datasets": ["teknium/OpenHermes-2.5", "m-a-p/CodeFeedback-Filtered-Instruction", "m-a-p/Code-Feedback"], "pipeline_tag": "text-generation", "infere... | solidrust/Wukong-0.1-Mistral-7B-v0.2-AWQ | null | [
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| # RESMPDEV/Wukong-0.1-Mistral-7B-v0.2 AWQ
- Model creator: RESMPDEV
- Original model: Wukong-0.1-Mistral-7B-v0.2
!image/jpeg
## Model Summary
Wukong-0.1-Mistral-7B-v0.2 is a dealigned chat finetune of the original fantastic Mistral-7B-v0.2 model by the Mistral team.
This model was trained on the teknium OpenHereme... | [
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text-generation | transformers |
# Uploaded model
- **Developed by:** gate369
- **License:** apache-2.0
- **Finetuned from model :** liminerity/bitmap-M7-alpaca-70m
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/unslothai/uns... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl", "sft"], "base_model": "liminerity/bitmap-M7-alpaca-70m"} | gate369/teslav0 | null | [
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|
# Uploaded model
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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": []} | yongsun-shim/eeve-4bit-test-3 | 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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null | transformers |
# Uploaded model
- **Developed by:** eruzak
- **License:** apache-2.0
- **Finetuned from model :** unsloth/mistral-7b-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/unslothai/unsloth/... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl"], "base_model": "unsloth/mistral-7b-bnb-4bit"} | eruzak/unsloth_mistral_predict_prompt_RL_v4 | null | [
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sentence-similarity | sentence-transformers |
# uzairnaeem/finetuned_sentence_similarity_spanish_es
This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like clustering or semantic search.
<!--- Describe your model here -->
## Usage (Sentence-Transformer... | {"library_name": "sentence-transformers", "tags": ["sentence-transformers", "feature-extraction", "sentence-similarity", "transformers"], "pipeline_tag": "sentence-similarity"} | uzairnaeem/finetuned_sentence_similarity_spanish_es | null | [
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|
# uzairnaeem/finetuned_sentence_similarity_spanish_es
This is a sentence-transformers model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like clustering or semantic search.
## Usage (Sentence-Transformers)
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null | null | # e5-mistral-7b-instruct-GGUF
Original model: [intfloat/e5-mistral-7b-instruct](https://huggingface.co/intfloat/e5-mistral-7b-instruct)
Use llama.cpp's conversion and quantization scripts. | {} | gaianet/e5-mistral-7b-instruct-GGUF | null | [
"gguf",
"region:us"
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#gguf #region-us
| # e5-mistral-7b-instruct-GGUF
Original model: intfloat/e5-mistral-7b-instruct
Use URL's conversion and quantization scripts. | [
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automatic-speech-recognition | transformers |
# distil-whisper-german
This model is a German Speech Recognition model based on the [distil-whisper](https://github.com/huggingface/distil-whisper) technique.
The model weights count 756M parameters and with a size of 1.51GB in bfloat16 format.
As a follow-up to the [Whisper large v3 german](https://huggingface.co/... | {"language": ["de"], "license": "apache-2.0", "library_name": "transformers", "pipeline_tag": "automatic-speech-recognition"} | primeline/distil-whisper-large-v3-german | null | [
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"automatic-speech-recognition",
"de",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
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"de"
] | TAGS
#transformers #safetensors #whisper #automatic-speech-recognition #de #license-apache-2.0 #endpoints_compatible #region-us
| distil-whisper-german
=====================
This model is a German Speech Recognition model based on the distil-whisper technique.
The model weights count 756M parameters and with a size of 1.51GB in bfloat16 format.
As a follow-up to the Whisper large v3 german we decided to create a distilled version for a faster... | [
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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 Hi - Sanchit Gandhi
This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whi... | {"language": ["vi"], "license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["vivos"], "metrics": ["wer"], "base_model": "openai/whisper-small", "model-index": [{"name": "Whisper Small Hi - Sanchit Gandhi", "results": [{"task": {"type": "automatic-speech-recognition", "name": "Automatic Speech Recogni... | Neruzo/whisper-small-vi | null | [
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| Whisper Small Hi - Sanchit Gandhi
=================================
This model is a fine-tuned version of openai/whisper-small on the ## dataset.
It achieves the following results on the evaluation set:
* Loss: 0.5230
* Wer: 28.6874
Model description
-----------------
More information needed
Intended uses & l... | [
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
weighted/imatrix quants of https://huggingface.co/ajibawa-2023/scarlett-33b
**No more quants are incoming, as llama.cpp crashes when generating them.**
<!-- provided-files -->
stati... | {"language": ["en"], "license": "cc-by-nc-nd-4.0", "library_name": "transformers", "base_model": "ajibawa-2023/scarlett-33b", "no_imatrix": "GGML_ASSERT: llama.cpp/ggml-quants.c:11239: grid_index >= 0", "quantized_by": "mradermacher"} | mradermacher/scarlett-33b-i1-GGUF | null | [
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| About
-----
weighted/imatrix quants of URL
No more quants are incoming, as URL crashes when generating them.
static quants are available at URL
Usage
-----
If you are unsure how to use GGUF files, refer to one of TheBloke's
READMEs for
more details, including on how to concatenate multi-part files.
Provided... | [] | [
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sentence-similarity | sentence-transformers |
# Shaharyar6/finetuned_sentence_similarity_spanish
This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like clustering or semantic search.
<!--- Describe your model here -->
## Usage (Sentence-Transformers)
... | {"library_name": "sentence-transformers", "tags": ["sentence-transformers", "feature-extraction", "sentence-similarity", "transformers"], "pipeline_tag": "sentence-similarity"} | Shaharyar6/finetuned_sentence_similarity_spanish | null | [
"sentence-transformers",
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"bert",
"feature-extraction",
"sentence-similarity",
"transformers",
"endpoints_compatible",
"region:us"
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#sentence-transformers #safetensors #bert #feature-extraction #sentence-similarity #transformers #endpoints_compatible #region-us
|
# Shaharyar6/finetuned_sentence_similarity_spanish
This is a sentence-transformers model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like clustering or semantic search.
## Usage (Sentence-Transformers)
Using this model becomes easy when you have sentence-trans... | [
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text-to-image | diffusers |
# AutoTrain SDXL LoRA DreamBooth - murali2002/stxldf
<Gallery />
## Model description
These are murali2002/stxldf LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0.
The weights were trained using [DreamBooth](https://dreambooth.github.io/).
LoRA for the text encoder was enabled: False.
Spec... | {"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 abhishek bachan"} | murali2002/stxldf | 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 | 2024-04-15T06:48:19+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 - murali2002/stxldf
<Gallery />
## Model description
These are murali2002/stxldf LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0.
The weights were trained using DreamBooth.
LoRA for the text encoder was enabled: False.
Special VAE used for training: None.
... | [
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text-generation | transformers |
# karasu-1.1B-jpdaretirs2
karasu-1.1B-jpdaretirs2 is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
* [niryuu/Karasu-1.1b-chat-vector](https://huggingface.co/niryuu/Karasu-1.1b-chat-vector)
* [tokyotech-llm/Swallow-7b-instru... | {"tags": ["merge", "mergekit", "lazymergekit", "niryuu/Karasu-1.1b-chat-vector", "tokyotech-llm/Swallow-7b-instruct-hf"], "base_model": ["niryuu/Karasu-1.1b-chat-vector", "tokyotech-llm/Swallow-7b-instruct-hf"]} | aipib/karasu-1.1B-jpdaretirs2 | null | [
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"base_model:tokyotech-llm/Swallow-7b-instruct-hf",
"autotra... | null | 2024-04-15T06:48:31+00:00 | [] | [] | TAGS
#transformers #safetensors #llama #text-generation #merge #mergekit #lazymergekit #niryuu/Karasu-1.1b-chat-vector #tokyotech-llm/Swallow-7b-instruct-hf #conversational #base_model-niryuu/Karasu-1.1b-chat-vector #base_model-tokyotech-llm/Swallow-7b-instruct-hf #autotrain_compatible #endpoints_compatible #text-gener... |
# karasu-1.1B-jpdaretirs2
karasu-1.1B-jpdaretirs2 is a merge of the following models using LazyMergekit:
* niryuu/Karasu-1.1b-chat-vector
* tokyotech-llm/Swallow-7b-instruct-hf
## Configuration
## Usage
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reinforcement-learning | ml-agents |
# **ppo** Agent playing **Pyramids**
This is a trained model of a **ppo** agent playing **Pyramids**
using the [Unity ML-Agents Library](https://github.com/Unity-Technologies/ml-agents).
## Usage (with ML-Agents)
The Documentation: https://unity-technologies.github.io/ml-agents/ML-Agents-Toolkit-Documentati... | {"library_name": "ml-agents", "tags": ["Pyramids", "deep-reinforcement-learning", "reinforcement-learning", "ML-Agents-Pyramids"]} | pdx97/ppo-Pyramid | null | [
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"onnx",
"Pyramids",
"deep-reinforcement-learning",
"reinforcement-learning",
"ML-Agents-Pyramids",
"region:us"
] | null | 2024-04-15T06:49:44+00:00 | [] | [] | TAGS
#ml-agents #tensorboard #onnx #Pyramids #deep-reinforcement-learning #reinforcement-learning #ML-Agents-Pyramids #region-us
|
# ppo Agent playing Pyramids
This is a trained model of a ppo agent playing Pyramids
using the Unity ML-Agents Library.
## Usage (with ML-Agents)
The Documentation: URL
We wrote a complete tutorial to learn to train your first agent using ML-Agents and publish it to the Hub:
- A *short tutorial* where ... | [
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null | transformers |
# Uploaded model
- **Developed by:** lancer59
- **License:** apache-2.0
- **Finetuned from model :** unsloth/mistral-7b-instruct-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/un... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl"], "base_model": "unsloth/mistral-7b-instruct-v0.2-bnb-4bit"} | lancer59/gemma7bitThought_adapter_4000 | null | [
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"base_model:unsloth/mistral-7b-instruct-v0.2-bnb-4bit",
"license:apache-2.0",
"endpoints_compatible",
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|
# Uploaded model
- Developed by: lancer59
- License: apache-2.0
- Finetuned from model : unsloth/mistral-7b-instruct-v0.2-bnb-4bit
This mistral model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
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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": ["unsloth"]} | lancer59/gemma7bitThought_adapter_4000_tokenizer | null | [
"transformers",
"unsloth",
"arxiv:1910.09700",
"endpoints_compatible",
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"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 Trained Using AutoTrain
This model was trained using AutoTrain. For more information, please visit [AutoTrain](https://hf.co/docs/autotrain).
# Usage
```python
from transformers import AutoModelForCausalLM, AutoTokenizer
model_path = "PATH_TO_THIS_REPO"
tokenizer = AutoTokenizer.from_pretrained(model_pat... | {"license": "other", "library_name": "transformers", "tags": ["autotrain", "text-generation-inference", "text-generation", "peft"], "widget": [{"messages": [{"role": "user", "content": "What is your favorite condiment?"}]}]} | shaswatamitra/westseverus-finetuned2 | null | [
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# Model Trained Using AutoTrain
This model was trained using AutoTrain. For more information, please visit AutoTrain.
# Usage
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] |
text-generation | transformers |
# karasu-1.1B-jpdareties3
karasu-1.1B-jpdareties3 is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
* [niryuu/Karasu-1.1b-chat-vector](https://huggingface.co/niryuu/Karasu-1.1b-chat-vector)
* [elyza/ELYZA-japanese-Llama-2-7b... | {"tags": ["merge", "mergekit", "lazymergekit", "niryuu/Karasu-1.1b-chat-vector", "elyza/ELYZA-japanese-Llama-2-7b-fast-instruct"], "base_model": ["niryuu/Karasu-1.1b-chat-vector", "elyza/ELYZA-japanese-Llama-2-7b-fast-instruct"]} | aipib/karasu-1.1B-jpdareties3 | null | [
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"base_model:elyza/ELYZA-japanese-Llama-2-7b-fast-ins... | null | 2024-04-15T06:53:43+00:00 | [] | [] | TAGS
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# karasu-1.1B-jpdareties3
karasu-1.1B-jpdareties3 is a merge of the following models using LazyMergekit:
* niryuu/Karasu-1.1b-chat-vector
* elyza/ELYZA-japanese-Llama-2-7b-fast-instruct
## Configuration
## Usage
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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": []} | yongsun-shim/solar-4bit-test-1 | 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.
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text-generation | transformers | # GreenBit LLMs
This is GreenBitAI's pretrained **low-bit** LLMs with extreme compression yet still strong performance.
Please refer to our [Github page](https://github.com/GreenBitAI/green-bit-llm) for the code to run the model and more information.
| {"license": "apache-2.0"} | GreenBitAI/Llama-2-13B-Chat-layer-mix-bpw-2.2 | null | [
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#transformers #safetensors #llama #text-generation #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| # GreenBit LLMs
This is GreenBitAI's pretrained low-bit LLMs with extreme compression yet still strong performance.
Please refer to our Github page for the code to run the model and more information.
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text-generation | transformers | # GreenBit LLMs
This is GreenBitAI's pretrained **low-bit** LLMs with extreme compression yet still strong performance.
Please refer to our [Github page](https://github.com/GreenBitAI/green-bit-llm) for the code to run the model and more information.
| {"license": "apache-2.0"} | GreenBitAI/Llama-2-13B-Chat-layer-mix-bpw-2.5 | null | [
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#transformers #safetensors #llama #text-generation #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| # GreenBit LLMs
This is GreenBitAI's pretrained low-bit LLMs with extreme compression yet still strong performance.
Please refer to our Github page for the code to run the model and more information.
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text-generation | transformers | # GreenBit LLMs
This is GreenBitAI's pretrained **low-bit** LLMs with extreme compression yet still strong performance.
Please refer to our [Github page](https://github.com/GreenBitAI/green-bit-llm) for the code to run the model and more information.
| {"license": "apache-2.0"} | GreenBitAI/Llama-2-13B-Chat-layer-mix-bpw-3.0 | null | [
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#transformers #safetensors #llama #text-generation #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| # GreenBit LLMs
This is GreenBitAI's pretrained low-bit LLMs with extreme compression yet still strong performance.
Please refer to our Github page for the code to run the model and more information.
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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="bhavishya02/q-FrozenLake-v1-4x4-noSlippery", filename="q-learning.pkl")
# Don't forget to check if you need to add additional... | {"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": ... | bhavishya02/q-FrozenLake-v1-4x4-noSlippery | null | [
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"reinforcement-learning",
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#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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] |
text-classification | transformers | # sean_test_merge_out
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
## Merge Details
### Merge Method
This model was merged using the [linear](https://arxiv.org/abs/2203.05482) merge method.
### Models Merged
The following models were included in the me... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["mllm-dev/gpt2_f_experiment_5", "mllm-dev/gpt2_f_experiment_2", "mllm-dev/gpt2_f_experiment_9", "mllm-dev/gpt2_f_experiment_6", "mllm-dev/gpt2_f_experiment_8", "mllm-dev/gpt2_f_experiment_0", "mllm-dev/gpt2_f_experiment_3", "mllm-dev/gpt2_f_... | mllm-dev/gpt2_m_experiment_linear | null | [
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"base_model:mllm-de... | null | 2024-04-15T06:58:57+00:00 | [
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This is a merge of pre-trained language models created using mergekit.
## Merge Details
### Merge Method
This model was merged using the linear merge method.
### Models Merged
The following models were included in the merge:
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* mllm-dev/gpt2_f_experiment_2
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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": []} | Thuy25/donut-colab | null | [
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#transformers #safetensors #vision-encoder-decoder #arxiv-1910.09700 #endpoints_compatible #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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null | null | This repository contains the model that will be used to perform text recommendation. The model is trained on the TMDB 5000 Movie Dataset on the Overview Feature of the dataset. The input for the model is the movie title and the model returns recommendations by comparing the overviews of the given title with the overvie... | {"license": "apache-2.0"} | Pankaj001/TextRecommendation | null | [
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text-classification | transformers | # sean_test_merge_out
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
## Merge Details
### Merge Method
This model was merged using the [TIES](https://arxiv.org/abs/2306.01708) merge method using [mllm-dev/gpt2_f_experiment_0](https://huggingface.co/mllm-de... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["mllm-dev/gpt2_f_experiment_9", "mllm-dev/gpt2_f_experiment_2", "mllm-dev/gpt2_f_experiment_8", "mllm-dev/gpt2_f_experiment_6", "mllm-dev/gpt2_f_experiment_7", "mllm-dev/gpt2_f_experiment_4", "mllm-dev/gpt2_f_experiment_3", "mllm-dev/gpt2_f_... | mllm-dev/gpt2_m_experiment_ties | null | [
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This is a merge of pre-trained language models created using mergekit.
## Merge Details
### Merge Method
This model was merged using the TIES merge method using mllm-dev/gpt2_f_experiment_0 as a base.
### Models Merged
The following models were included in the merge:
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/K00B404/BagOClownCoders-ties-7B
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do not ... | {"language": ["en"], "library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": "K00B404/BagOClownCoders-ties-7B", "quantized_by": "mradermacher"} | mradermacher/BagOClownCoders-ties-7B-GGUF | null | [
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#transformers #gguf #mergekit #merge #en #base_model-K00B404/BagOClownCoders-ties-7B #endpoints_compatible #region-us
| About
-----
static quants of URL
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
Usage
-----
If you are unsure how to use GGUF file... | [] | [
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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": []} | Bajiyo/w2v-bert-2.0-malayalam_mixeddataset_two-CV16.0 | null | [
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"automatic-speech-recognition",
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"endpoints_compatible",
"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.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
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text-classification | transformers | # sean_test_merge_out
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
## Merge Details
### Merge Method
This model was merged using the linear [DARE](https://arxiv.org/abs/2311.03099) merge method using [mllm-dev/gpt2_f_experiment_0](https://huggingface.co/... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["mllm-dev/gpt2_f_experiment_0", "mllm-dev/gpt2_f_experiment_7", "mllm-dev/gpt2_f_experiment_6", "mllm-dev/gpt2_f_experiment_9", "mllm-dev/gpt2_f_experiment_2", "mllm-dev/gpt2_f_experiment_5", "mllm-dev/gpt2_f_experiment_8", "mllm-dev/gpt2_f_... | mllm-dev/gpt2_m_experiment_dare_linear | null | [
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"base_model:mllm-dev/gpt2_f_experiment_9",
"base_model:mllm-de... | null | 2024-04-15T07:03:01+00:00 | [
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This is a merge of pre-trained language models created using mergekit.
## Merge Details
### Merge Method
This model was merged using the linear DARE merge method using mllm-dev/gpt2_f_experiment_0 as a base.
### Models Merged
The following models were included in the merge:
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reinforcement-learning | null |
# **Reinforce** Agent playing **CartPole-v1**
This is a trained model of a **Reinforce** agent playing **CartPole-v1** .
To learn to use this model and train yours check Unit 4 of the Deep Reinforcement Learning Course: https://huggingface.co/deep-rl-course/unit4/introduction
| {"tags": ["CartPole-v1", "reinforce", "reinforcement-learning", "custom-implementation", "deep-rl-class"], "model-index": [{"name": "REINFORCE-CartPole-v1", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "CartPole-v1", "type": "CartPole-v1"}, "metrics": [{... | Rudolph314/Reinforce-CartPole-v1 | null | [
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#CartPole-v1 #reinforce #reinforcement-learning #custom-implementation #deep-rl-class #model-index #region-us
|
# Reinforce Agent playing CartPole-v1
This is a trained model of a Reinforce agent playing CartPole-v1 .
To learn to use this model and train yours check Unit 4 of the Deep Reinforcement Learning Course: URL
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text-generation | transformers | # jondurbin/bagel-dpo-7b-v0.5 AWQ
- Model creator: [jondurbin](https://huggingface.co/jondurbin)
- Original model: [bagel-dpo-7b-v0.4](https://huggingface.co/jondurbin/bagel-dpo-7b-v0.4)
## Model Summary
This is a fine-tune of mistral-7b-v0.2 using the bagel v0.5 dataset, including a DPO pass.
... | {"license": "apache-2.0", "tags": ["finetuned", "quantized", "4-bit", "AWQ", "transformers", "pytorch", "mistral", "instruct", "text-generation", "conversational", "autotrain_compatible", "endpoints_compatible", "text-generation-inference", "region:us", "finetune", "chatml", "DPO", "RLHF", "gpt4", "synthetic data", "di... | solidrust/bagel-dpo-7b-v0.5-AWQ | null | [
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- Model creator: jondurbin
- Original model: bagel-dpo-7b-v0.4
!bagel
## Model Summary
This is a fine-tune of mistral-7b-v0.2 using the bagel v0.5 dataset, including a DPO pass.
See bagel for additional details on the datasets.
The non-DPO version is available here
## How to use... | [
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null | null | Resume Model | {} | huylys12/llama2-resume-context | null | [
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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/AstrAnime_Mixv1 | null | [
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"region:us"
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"1910.09700"
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#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:
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null | null |
# DavidAU/Sensualize-Mixtral-bf16-Q6_K-GGUF
This model was converted to GGUF format from [`Sao10K/Sensualize-Mixtral-bf16`](https://huggingface.co/Sao10K/Sensualize-Mixtral-bf16) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original model ca... | {"license": "cc-by-nc-4.0", "tags": ["llama-cpp", "gguf-my-repo"], "datasets": ["NobodyExistsOnTheInternet/full120k"], "base model": "mistralai/Mixtral-8x7B-v0.1"} | DavidAU/Sensualize-Mixtral-bf16-Q6_K-GGUF | null | [
"gguf",
"llama-cpp",
"gguf-my-repo",
"dataset:NobodyExistsOnTheInternet/full120k",
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#gguf #llama-cpp #gguf-my-repo #dataset-NobodyExistsOnTheInternet/full120k #license-cc-by-nc-4.0 #region-us
|
# DavidAU/Sensualize-Mixtral-bf16-Q6_K-GGUF
This model was converted to GGUF format from 'Sao10K/Sensualize-Mixtral-bf16' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
CLI:
S... | [
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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": []} | yongsun-shim/solar-4bit-test-2 | null | [
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"4-bit",
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|
# Model Card for Model ID
## Model Details
### Model Description
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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": "ybelkada/gpt-j-6b-sharded-bf16"} | ainoob101/gptj-6b-orpo-test | null | [
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## Model Details
### Model Description
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- Funded by [optional]:
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- Finetuned from model [optional]:
### Model Sources [optional]
- Repository:
- Paper [optional]:
- Demo [optional]:
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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. -->
# results
This model is a fine-tuned version of [MingZhong/DialogLED-base-16384](https://huggingface.co/MingZhong/DialogLED-base-1... | {"tags": ["generated_from_trainer"], "base_model": "MingZhong/DialogLED-base-16384", "model-index": [{"name": "results", "results": []}]} | StDestiny/results | null | [
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|
# results
This model is a fine-tuned version of MingZhong/DialogLED-base-16384 on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters... | [
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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. -->
# mistral-ate-notes-apr
This model is a fine-tuned version of [TheBloke/Mistral-7B-Instruct-v0.1-GPTQ](https://huggingface.co/TheB... | {"license": "apache-2.0", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "TheBloke/Mistral-7B-Instruct-v0.1-GPTQ", "model-index": [{"name": "mistral-ate-notes-apr", "results": []}]} | fabiothecarvalho/mistral-ate-notes-apr | null | [
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| mistral-ate-notes-apr
=====================
This model is a fine-tuned version of TheBloke/Mistral-7B-Instruct-v0.1-GPTQ on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.3969
Model description
-----------------
More information needed
Intended uses & limitations
--------... | [
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text-generation | transformers | # Fine-Tuned GEMMA Model for Chatbot
This repository hosts the fine-tuned version of the GEMMA 1.1-2B model, specifically fine-tuned for a customer support chatbot use case.
## Model Description
The GEMMA 1.1-2B model has been fine-tuned on the [Bitext Customer Support Dataset](https://huggingface.co/datasets/bitext... | {"library_name": "transformers", "datasets": ["bitext/Bitext-customer-support-llm-chatbot-training-dataset"]} | rootsec1/gemma-2B-it-customer-support | null | [
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| # Fine-Tuned GEMMA Model for Chatbot
This repository hosts the fine-tuned version of the GEMMA 1.1-2B model, specifically fine-tuned for a customer support chatbot use case.
## Model Description
The GEMMA 1.1-2B model has been fine-tuned on the Bitext Customer Support Dataset for answering customer support queries. ... | [
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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. -->
# mistralv1_dora_r8_2e4_e3
This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mist... | {"license": "apache-2.0", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "mistralai/Mistral-7B-v0.1", "model-index": [{"name": "mistralv1_dora_r8_2e4_e3", "results": []}]} | fangzhaoz/mistralv1_dora_r8_2e4_e3 | null | [
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#peft #tensorboard #safetensors #generated_from_trainer #base_model-mistralai/Mistral-7B-v0.1 #license-apache-2.0 #region-us
|
# mistralv1_dora_r8_2e4_e3
This model is a fine-tuned version of mistralai/Mistral-7B-v0.1 on the None dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyper... | [
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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": []} | fangzhaoz/mistralv1_dora_r8_2e4_e3_merged | null | [
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## Model Details
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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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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
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null | null |
# DavidAU/Shiki-m7-Q6_K-GGUF
This model was converted to GGUF format from [`Sao10K/Shiki-m7`](https://huggingface.co/Sao10K/Shiki-m7) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original model card](https://huggingface.co/Sao10K/Shiki-m7) f... | {"language": ["en"], "license": "cc-by-nc-4.0", "tags": ["llama-cpp", "gguf-my-repo"]} | DavidAU/Shiki-m7-Q6_K-GGUF | null | [
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|
# DavidAU/Shiki-m7-Q6_K-GGUF
This model was converted to GGUF format from 'Sao10K/Shiki-m7' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
CLI:
Server:
Note: You can also u... | [
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text-generation | transformers |
# CodeQwen1.5-7B-Chat
## Introduction
CodeQwen1.5 is the Code-Specific version of Qwen1.5. It is a transformer-based decoder-only language model pretrained on a large amount of data of codes.
* Strong code generation capabilities and competitve performance across a series of benchmarks;
* Supporting long context ... | {"language": ["en"], "license": "other", "tags": ["chat"], "license_name": "tongyi-qianwen", "license_link": "https://huggingface.co/Qwen/CodeQwen1.5-7B-Chat/blob/main/LICENSE", "pipeline_tag": "text-generation"} | Qwen/CodeQwen1.5-7B-Chat | null | [
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# CodeQwen1.5-7B-Chat
## Introduction
CodeQwen1.5 is the Code-Specific version of Qwen1.5. It is a transformer-based decoder-only language model pretrained on a large amount of data of codes.
* Strong code generation capabilities and competitve performance across a series of benchmarks;
* Supporting long context ... | [
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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": []} | giux78/zefiro-funcioncalling-v0.2-merged | null | [
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# Model Card for Model ID
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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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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. -->
# mistral-7b-hf-platypus-lamini-vxxiii-chat-enhanced
This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://hug... | {"license": "apache-2.0", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "mistralai/Mistral-7B-v0.1", "model-index": [{"name": "mistral-7b-hf-platypus-lamini-vxxiii-chat-enhanced", "results": []}]} | NassimB/mistral-7b-hf-platypus-lamini-vxxiii-chat-enhanced | null | [
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|
# mistral-7b-hf-platypus-lamini-vxxiii-chat-enhanced
This model is a fine-tuned version of mistralai/Mistral-7B-v0.1 on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
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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": []} | shallow6414/uuxn1d7 | null | [
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"1910.09700"
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#transformers #safetensors #stablelm #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- License... | [
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/Changgil/K2S3-Mistral-7b-v1.48
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do not s... | {"language": ["en"], "license": "cc-by-nc-4.0", "library_name": "transformers", "base_model": "Changgil/K2S3-Mistral-7b-v1.48", "quantized_by": "mradermacher"} | mradermacher/K2S3-Mistral-7b-v1.48-GGUF | null | [
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#transformers #gguf #en #base_model-Changgil/K2S3-Mistral-7b-v1.48 #license-cc-by-nc-4.0 #endpoints_compatible #region-us
| About
-----
static quants of URL
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
Usage
-----
If you are unsure how to use GGUF file... | [] | [
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visual-question-answering | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | thdangtr/blip_recipe1m_ingredients_v2 | null | [
"transformers",
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"endpoints_compatible",
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#transformers #safetensors #blip #visual-question-answering #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- Funded by [optional]:
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reinforcement-learning | stable-baselines3 |
# **PPO** Agent playing **LunarLander-v2**
This is a trained model of a **PPO** agent playing **LunarLander-v2**
using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3).
## Usage (with Stable-baselines3)
TODO: Add your code
```python
from stable_baselines3 import ...
from huggingface_sb3 ... | {"library_name": "stable-baselines3", "tags": ["LunarLander-v2", "deep-reinforcement-learning", "reinforcement-learning", "stable-baselines3"], "model-index": [{"name": "PPO", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "LunarLander-v2", "type": "LunarL... | 4-alokk/ppo-LunarLander-v2 | null | [
"stable-baselines3",
"LunarLander-v2",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | null | 2024-04-15T07:23:19+00:00 | [] | [] | TAGS
#stable-baselines3 #LunarLander-v2 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
# PPO Agent playing LunarLander-v2
This is a trained model of a PPO agent playing LunarLander-v2
using the stable-baselines3 library.
## Usage (with Stable-baselines3)
TODO: Add your code
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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-fine-tuned-base-company-earnings-call-v0
This model is a fine-tuned version of [openai/whisper-base](https://huggingface... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["wer"], "base_model": "openai/whisper-base", "model-index": [{"name": "Whisper-fine-tuned-base-company-earnings-call-v0", "results": []}]} | MasatoShima1618/Whisper-fine-tuned-base-company-earnings-call-v0 | null | [
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| Whisper-fine-tuned-base-company-earnings-call-v0
================================================
This model is a fine-tuned version of openai/whisper-base on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1291
* Wer: 9.9190
Model description
-----------------
More inform... | [
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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": ["trl", "sft"]} | CodeTriad/mistral-7b-gaLore_1_epoch_lr_5e5 | 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.
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- Funded by [optional]:
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- License... | [
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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. -->
# Text_Summarization_model_15042024
This model is a fine-tuned version of [google-t5/t5-small](https://huggingface.co/google-t5/t5... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["rouge"], "base_model": "google-t5/t5-small", "model-index": [{"name": "Text_Summarization_model_15042024", "results": []}]} | vishnun0027/Text_Summarization_model_15042024 | null | [
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| Text\_Summarization\_model\_15042024
====================================
This model is a fine-tuned version of google-t5/t5-small on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 1.5948
* Rouge1: 0.2374
* Rouge2: 0.1905
* Rougel: 0.2302
* Rougelsum: 0.2302
* Gen Len: 19.0
M... | [
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text-to-image | diffusers |
# AutoTrain LoRA DreamBooth - Ash4u/asmaa
These are LoRA adaption weights for digiplay/majicMIX_realistic_v6. The weights were trained on <asmaa> using [DreamBooth](https://dreambooth.github.io/).
LoRA for the text encoder was enabled: False.
| {"license": "openrail++", "tags": ["autotrain", "stable-diffusion", "stable-diffusion-diffusers", "text-to-image", "diffusers", "lora", "template:sd-lora"], "base_model": "digiplay/majicMIX_realistic_v6", "instance_prompt": "<asmaa>"} | Ash4u/asmaa | null | [
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"license:openrail++",
"region:us"
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|
# AutoTrain LoRA DreamBooth - Ash4u/asmaa
These are LoRA adaption weights for digiplay/majicMIX_realistic_v6. The weights were trained on <asmaa> using DreamBooth.
LoRA for the text encoder was enabled: False.
| [
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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": []} | Abhinay123/wav2vec2_vedas2_epoch_3_step_1399 | null | [
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"region:us"
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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": []} | lattavia/gemma-2b-chat-finetune-final | null | [
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"autotrain_compatible",
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|
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## Model Details
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- Funded by [optional]:
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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. -->
# sentiment-multilingual-distillbert-final
This model is a fine-tuned version of [distilbert/distilbert-base-multilingual-cased](h... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "model-index": [{"name": "sentiment-multilingual-distillbert-final", "results": []}]} | Mukalingam0813/sentiment-multilingual-distillbert-final | null | [
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| sentiment-multilingual-distillbert-final
========================================
This model is a fine-tuned version of distilbert/distilbert-base-multilingual-cased on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.4666
* Accuracy: 0.9357
Model description
----------------... | [
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text-generation | adapter-transformers | # Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
This modelcard aims to be a base template for new models. It has been generated using [this raw template](https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/modelcard_template.md?plain=1).
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| # Model Card for Model ID
This modelcard aims to be a base template for new models. It has been generated using this raw template.
## Model Details
test llm
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text-generation | transformers | # **Llama 2**
Llama 2 is a collection of pretrained and fine-tuned generative text models ranging in scale from 7 billion to 70 billion parameters. This is the repository for the 7B pretrained model, converted for the Hugging Face Transformers format. Links to other models can be found in the index at the bottom.
## M... | {"language": ["en"], "tags": ["facebook", "meta", "pytorch", "llama", "llama-2"], "extra_gated_heading": "You need to share contact information with Meta to access this model", "extra_gated_prompt": "### LLAMA 2 COMMUNITY LICENSE AGREEMENT\n\"Agreement\" means the terms and conditions for use, reproduction, distributio... | zhanganlong/llama2-7b-zhang | null | [
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| Llama 2
=======
Llama 2 is a collection of pretrained and fine-tuned generative text models ranging in scale from 7 billion to 70 billion parameters. This is the repository for the 7B pretrained model, converted for the Hugging Face Transformers format. Links to other models can be found in the index at the bottom.
... | [] | [
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feature-extraction | transformers |
<br><br>
<p align="center">
<img src="https://aeiljuispo.cloudimg.io/v7/https://cdn-uploads.huggingface.co/production/uploads/603763514de52ff951d89793/AFoybzd5lpBQXEBrQHuTt.png?w=200&h=200&f=face" alt="Finetuner logo: Finetuner helps you to create experiments in order to improve embeddings on search tasks. It accompa... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["reranker", "cross-encoder", "transformers.js"]} | jinaai/jina-reranker-v1-tiny-en | null | [
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|
**Trained by [- You can also use the 'transformers' library to interact with the model programmatically.
- You can also use the 'URL' library to run the model directly in JavaScript (in-browser, URL, Deno, etc.)!
If you haven't already, you can install the URL JavaScript library from ... | [] | [
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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. -->
# tiny-fungal-llama
This model is a fine-tuned version of [TinyLlama/TinyLlama-1.1B-Chat-v1.0](https://huggingface.co/TinyLlama/Ti... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "TinyLlama/TinyLlama-1.1B-Chat-v1.0", "model-index": [{"name": "tiny-fungal-llama", "results": []}]} | as-cle-bert/tiny-fungal-llama | null | [
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"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"... | null | 2024-04-15T07:36:58+00:00 | [] | [] | TAGS
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| tiny-fungal-llama
=================
This model is a fine-tuned version of TinyLlama/TinyLlama-1.1B-Chat-v1.0 on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 2.0136
Model description
-----------------
More information needed
Intended uses & limitations
--------------------... | [
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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. -->
# v4_trained_weigths
This model is a fine-tuned version of [meta-llama/Llama-2-7b-hf](https://huggingface.co/meta-llama/Llama-2-7b... | {"library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "meta-llama/Llama-2-7b-hf", "model-index": [{"name": "v4_trained_weigths", "results": []}]} | AmirlyPhd/v4_trained_weigths | null | [
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#peft #tensorboard #safetensors #trl #sft #generated_from_trainer #base_model-meta-llama/Llama-2-7b-hf #region-us
| v4\_trained\_weigths
====================
This model is a fine-tuned version of meta-llama/Llama-2-7b-hf on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.6751
Model description
-----------------
More information needed
Intended uses & limitations
------------------------... | [
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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": []} | jspetrisko/mistral-7b-sql-v1 | null | [
"transformers",
"safetensors",
"arxiv:1910.09700",
"endpoints_compatible",
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"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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- Funded by [optional]:
- Shared by [optional]:
- Model type:
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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. -->
# test_bert
This model is a fine-tuned version of [nlptown/bert-base-multilingual-uncased-sentiment](https://huggingface.co/nlptow... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "nlptown/bert-base-multilingual-uncased-sentiment", "model-index": [{"name": "test_bert", "results": []}]} | JorgeRGomez/test_bert | null | [
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| test\_bert
==========
This model is a fine-tuned version of nlptown/bert-base-multilingual-uncased-sentiment on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.8332
* Accuracy: 0.6817
Model description
-----------------
More information needed
Intended uses & limitations
-... | [
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/OmnicromsBrain/NeuralStar_AlphaWriter_4x7b
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If t... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["moe", "frankenmoe", "merge", "mergekit", "lazymergekit", "mlabonne/AlphaMonarch-7B", "FPHam/Karen_TheEditor_V2_STRICT_Mistral_7B", "SanjiWatsuki/Kunoichi-DPO-v2-7B", "OmnicromsBrain/NeuralStar-7b-Lazy"], "base_model": "OmnicromsBrai... | mradermacher/NeuralStar_AlphaWriter_4x7b-GGUF | null | [
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-----
static quants of URL
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
Usage
-----
If you are unsure how to use GGUF file... | [] | [
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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. -->
# my_awesome_asr_mind_model
This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["minds14"], "metrics": ["wer"], "base_model": "facebook/wav2vec2-base", "model-index": [{"name": "my_awesome_asr_mind_model", "results": [{"task": {"type": "automatic-speech-recognition", "name": "Automatic Speech Recognition"}, "dataset": {"nam... | Hemg/my_awesome_asr_mind_model | null | [
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"license:apache-2.0",
"model-index",
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| my\_awesome\_asr\_mind\_model
=============================
This model is a fine-tuned version of facebook/wav2vec2-base on the minds14 dataset.
It achieves the following results on the evaluation set:
* Loss: nan
* Wer: 1.0
Model description
-----------------
More information needed
Intended uses & limitatio... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 1e-05\n* train\\_batch\\_size: 8\n* eval\\_batch\\_size: 8\n* seed: 42\n* gradient\\_accumulation\\_steps: 2\n* total\\_train\\_batch\\_size: 16\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1... | [
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video-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. -->
# videomae-base-finetuned-ElderReact-anger-balanced
This model is a fine-tuned version of [MCG-NJU/videomae-base](https://huggingf... | {"license": "cc-by-nc-4.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "MCG-NJU/videomae-base", "model-index": [{"name": "videomae-base-finetuned-ElderReact-anger-balanced", "results": []}]} | minhah/videomae-base-finetuned-ElderReact-anger-balanced | null | [
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"license:cc-by-nc-4.0",
"endpoints_compatible",
"region:us"
] | null | 2024-04-15T07:44:02+00:00 | [] | [] | TAGS
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| videomae-base-finetuned-ElderReact-anger-balanced
=================================================
This model is a fine-tuned version of MCG-NJU/videomae-base on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.7506
* Accuracy: 0.4304
Model description
-----------------
Mo... | [
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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. -->
# lenate_model_5
This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/dist... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "distilbert/distilbert-base-uncased", "model-index": [{"name": "lenate_model_5", "results": []}]} | lenate/lenate_model_5 | null | [
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"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-15T07:44:16+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #distilbert #text-classification #generated_from_trainer #base_model-distilbert/distilbert-base-uncased #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
| lenate\_model\_5
================
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: 0.2806
* Accuracy: 0.9375
Model description
-----------------
More information needed
Intended uses & limitations
-... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 16\n* eval\\_batch\\_size: 16\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 7",
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null | null |
# DavidAU/Skadi-Mixtral-v1-Q6_K-GGUF
This model was converted to GGUF format from [`Sao10K/Skadi-Mixtral-v1`](https://huggingface.co/Sao10K/Skadi-Mixtral-v1) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original model card](https://huggingfa... | {"language": ["en"], "license": "cc-by-nc-4.0", "tags": ["merge", "llama-cpp", "gguf-my-repo"]} | DavidAU/Skadi-Mixtral-v1-Q6_K-GGUF | null | [
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#gguf #merge #llama-cpp #gguf-my-repo #en #license-cc-by-nc-4.0 #region-us
|
# DavidAU/Skadi-Mixtral-v1-Q6_K-GGUF
This model was converted to GGUF format from 'Sao10K/Skadi-Mixtral-v1' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
CLI:
Server:
Note... | [
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unconditional-image-generation | diffusers |
# Model Card for Unit 1 of the [Diffusion Models Class 🧨](https://github.com/huggingface/diffusion-models-class)
This model is a diffusion model for unconditional image generation of cute 🦋.
## Usage
```python
from diffusers import DDPMPipeline
pipeline = DDPMPipeline.from_pretrained('yansen0508/first-ddpm-proje... | {"license": "mit", "tags": ["pytorch", "diffusers", "unconditional-image-generation", "diffusion-models-class"]} | yansen0508/first-ddpm-project-butterflies-32 | null | [
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#diffusers #safetensors #pytorch #unconditional-image-generation #diffusion-models-class #license-mit #diffusers-DDPMPipeline #region-us
|
# Model Card for Unit 1 of the Diffusion Models Class
This model is a diffusion model for unconditional image generation of cute .
## Usage
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video-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. -->
# videomae-base-finetuned-ElderReact-anger-balancedf1
This model is a fine-tuned version of [MCG-NJU/videomae-base](https://huggin... | {"license": "cc-by-nc-4.0", "tags": ["generated_from_trainer"], "metrics": ["f1"], "base_model": "MCG-NJU/videomae-base", "model-index": [{"name": "videomae-base-finetuned-ElderReact-anger-balancedf1", "results": []}]} | minhah/videomae-base-finetuned-ElderReact-anger-balancedf1 | null | [
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"safetensors",
"videomae",
"video-classification",
"generated_from_trainer",
"base_model:MCG-NJU/videomae-base",
"license:cc-by-nc-4.0",
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"region:us"
] | null | 2024-04-15T07:45:18+00:00 | [] | [] | TAGS
#transformers #safetensors #videomae #video-classification #generated_from_trainer #base_model-MCG-NJU/videomae-base #license-cc-by-nc-4.0 #endpoints_compatible #region-us
| videomae-base-finetuned-ElderReact-anger-balancedf1
===================================================
This model is a fine-tuned version of MCG-NJU/videomae-base on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.7424
* F1: 0.5798
Model description
-----------------
More... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 16\n* eval\\_batch\\_size: 16\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* lr\\_scheduler\\_warmup\\_ratio... | [
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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/OccidentalMix_v20 | null | [
"diffusers",
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#diffusers #safetensors #arxiv-1910.09700 #endpoints_compatible #diffusers-StableDiffusionPipeline #region-us
|
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## 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.
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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. -->
# idiotDeveloper/KoreanTelephone_Mini_dataset_test
This model is a fine-tuned version of [openai/whisper-small](https://huggingfac... | {"language": ["ko"], "license": "apache-2.0", "tags": ["hf-asr-leaderboard", "generated_from_trainer"], "datasets": ["idiotDeveloper/KoreanTelephone_Mini_dataset"], "base_model": "openai/whisper-small", "model-index": [{"name": "idiotDeveloper/KoreanTelephone_Mini_dataset_test", "results": []}]} | idiotDeveloper/KoreanTelephone_Mini_dataset | null | [
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"base_model:openai/whisper-small",
"license:apache-2.0",
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"region:us"
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"ko"
] | TAGS
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|
# idiotDeveloper/KoreanTelephone_Mini_dataset_test
This model is a fine-tuned version of openai/whisper-small on the KoreanTelephone_Mini_dataset dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed... | [
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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. -->
# ruBert-base-sberquad-0.01-filtered-negative
This model is a fine-tuned version of [ai-forever/ruBert-base](https://huggingface.c... | {"license": "apache-2.0", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "ai-forever/ruBert-base", "model-index": [{"name": "ruBert-base-sberquad-0.01-filtered-negative", "results": []}]} | Shalazary/ruBert-base-sberquad-0.01-filtered-negative | null | [
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#peft #tensorboard #safetensors #generated_from_trainer #base_model-ai-forever/ruBert-base #license-apache-2.0 #region-us
|
# ruBert-base-sberquad-0.01-filtered-negative
This model is a fine-tuned version of ai-forever/ruBert-base on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
... | [
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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. -->
# lenate_model_6
This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/dist... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "distilbert/distilbert-base-uncased", "model-index": [{"name": "lenate_model_6", "results": []}]} | lenate/lenate_model_6 | null | [
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| lenate\_model\_6
================
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: 0.1215
* Accuracy: 0.9688
Model description
-----------------
More information needed
Intended uses & limitations
-... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 16\n* eval\\_batch\\_size: 16\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 11",
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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. -->
# xlm-roberta-base-finetuned-language-detection
This model is a fine-tuned version of [cardiffnlp/twitter-xlm-roberta-base-sentime... | {"tags": ["generated_from_trainer"], "metrics": ["accuracy", "f1"], "base_model": "cardiffnlp/twitter-xlm-roberta-base-sentiment-multilingual", "model-index": [{"name": "xlm-roberta-base-finetuned-language-detection", "results": []}]} | IbexAI/xlm-roberta-sentiment-romanurdu | null | [
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"autotrain_compatible",
"endpoints_compatible",
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] | null | 2024-04-15T07:47:27+00:00 | [] | [] | TAGS
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| xlm-roberta-base-finetuned-language-detection
=============================================
This model is a fine-tuned version of cardiffnlp/twitter-xlm-roberta-base-sentiment-multilingual on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.5624
* Accuracy: 0.8195
* F1: 0.8195
... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 64\n* eval\\_batch\\_size: 128\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 5\n* mixed\\_pre... | [
"TAGS\n#transformers #safetensors #xlm-roberta #text-classification #generated_from_trainer #base_model-cardiffnlp/twitter-xlm-roberta-base-sentiment-multilingual #autotrain_compatible #endpoints_compatible #region-us \n",
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:... | [
59,
112,
5,
44
] | [
"TAGS\n#transformers #safetensors #xlm-roberta #text-classification #generated_from_trainer #base_model-cardiffnlp/twitter-xlm-roberta-base-sentiment-multilingual #autotrain_compatible #endpoints_compatible #region-us \n### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n... |
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