pipeline_tag stringclasses 48
values | library_name stringclasses 198
values | text stringlengths 1 900k | metadata stringlengths 2 438k | id stringlengths 5 122 | last_modified null | tags listlengths 1 1.84k | sha null | created_at stringlengths 25 25 | arxiv listlengths 0 201 | languages listlengths 0 1.83k | tags_str stringlengths 17 9.34k | text_str stringlengths 0 389k | text_lists listlengths 0 722 | processed_texts listlengths 1 723 | tokens_length listlengths 1 723 | input_texts listlengths 1 1 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
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": []} | OwOOwO/science_of_gambling2 | null | [
"transformers",
"safetensors",
"stablelm",
"text-generation",
"conversational",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-05T13:44:11+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #stablelm #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Developed by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Model type: \n- Language(s)... | [
"TAGS\n#transformers #safetensors #stablelm #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #region-us \n",
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the ... | [
41,
6,
4,
75,
23,
3,
5,
8,
9,
8,
34,
20,
4,
5,
5,
11,
13,
12,
3,
10,
6,
5,
6,
4,
5,
7,
49,
7,
7,
5,
5,
15,
7,
7,
8,
5
] | [
"TAGS\n#transformers #safetensors #stablelm #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #region-us \n# Model Card for Model ID## Model Details### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model ca... |
text-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_french_hate_speech_detection
This model is a fine-tuned version of [FacebookAI/xlm-roberta-base](https://huggin... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "FacebookAI/xlm-roberta-base", "model-index": [{"name": "xlm_roberta_base_french_hate_speech_detection", "results": []}]} | Dauren-Nur/xlm_roberta_base_french_hate_speech_detection | null | [
"transformers",
"tensorboard",
"safetensors",
"xlm-roberta",
"text-classification",
"generated_from_trainer",
"base_model:FacebookAI/xlm-roberta-base",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-05T13:46:20+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #xlm-roberta #text-classification #generated_from_trainer #base_model-FacebookAI/xlm-roberta-base #license-mit #autotrain_compatible #endpoints_compatible #region-us
| xlm\_roberta\_base\_french\_hate\_speech\_detection
===================================================
This model is a fine-tuned version of FacebookAI/xlm-roberta-base on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.2950
* Accuracy: 0.8904
Model description
------------... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 16\n* eval\\_batch\\_size: 16\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 4",
"### Traini... | [
"TAGS\n#transformers #tensorboard #safetensors #xlm-roberta #text-classification #generated_from_trainer #base_model-FacebookAI/xlm-roberta-base #license-mit #autotrain_compatible #endpoints_compatible #region-us \n",
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\... | [
57,
101,
5,
44
] | [
"TAGS\n#transformers #tensorboard #safetensors #xlm-roberta #text-classification #generated_from_trainer #base_model-FacebookAI/xlm-roberta-base #license-mit #autotrain_compatible #endpoints_compatible #region-us \n### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* lea... |
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": []} | jth500/sft-t5-xsum-0504 | null | [
"transformers",
"safetensors",
"t5",
"text2text-generation",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-05T13:49:25+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #t5 #text2text-generation #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Developed by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Model type: \n- Language(s)... | [
"TAGS\n#transformers #safetensors #t5 #text2text-generation #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been push... | [
46,
6,
4,
75,
23,
3,
5,
8,
9,
8,
34,
20,
4,
5,
5,
11,
13,
12,
3,
10,
6,
5,
6,
4,
5,
7,
49,
7,
7,
5,
5,
15,
7,
7,
8,
5
] | [
"TAGS\n#transformers #safetensors #t5 #text2text-generation #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n# Model Card for Model ID## Model Details### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. Thi... |
text-generation | transformers |
# 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": []} | bjoernp/leo_bude | null | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"conversational",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-05T13:50:03+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #mistral #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Developed by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Model type: \n- Language(s)... | [
"TAGS\n#transformers #safetensors #mistral #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model th... | [
47,
6,
4,
75,
23,
3,
5,
8,
9,
8,
34,
20,
4,
5,
5,
11,
13,
12,
3,
10,
6,
5,
6,
4,
5,
7,
49,
7,
7,
5,
5,
15,
7,
7,
8,
5
] | [
"TAGS\n#transformers #safetensors #mistral #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n# Model Card for Model ID## Model Details### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed... |
null | trl |
# Weni/WeniGPT-Agents-Zephyr-1.0.0-KTO
This model is a fine-tuned version of [HuggingFaceH4/zephyr-7b-beta] on the dataset Weni/wenigpt-agent-1.2.0 with the KTO trainer. It is part of the WeniGPT project for [Weni](https://weni.ai/).
Description: testing kto dataset during training
It achieves the following results ... | {"language": ["pt"], "license": "mit", "library_name": "trl", "tags": ["KTO", "WeniGPT"], "base_model": "HuggingFaceH4/zephyr-7b-beta", "model-index": [{"name": "Weni/WeniGPT-Agents-Zephyr-1.0.0-KTO", "results": []}]} | Weni/WeniGPT-Agents-Zephyr-1.0.0-KTO | null | [
"trl",
"safetensors",
"KTO",
"WeniGPT",
"pt",
"base_model:HuggingFaceH4/zephyr-7b-beta",
"license:mit",
"region:us"
] | null | 2024-04-05T13:51:24+00:00 | [] | [
"pt"
] | TAGS
#trl #safetensors #KTO #WeniGPT #pt #base_model-HuggingFaceH4/zephyr-7b-beta #license-mit #region-us
|
# Weni/WeniGPT-Agents-Zephyr-1.0.0-KTO
This model is a fine-tuned version of [HuggingFaceH4/zephyr-7b-beta] on the dataset Weni/wenigpt-agent-1.2.0 with the KTO trainer. It is part of the WeniGPT project for Weni.
Description: testing kto dataset during training
It achieves the following results on the evaluation se... | [
"# Weni/WeniGPT-Agents-Zephyr-1.0.0-KTO\n\nThis model is a fine-tuned version of [HuggingFaceH4/zephyr-7b-beta] on the dataset Weni/wenigpt-agent-1.2.0 with the KTO trainer. It is part of the WeniGPT project for Weni.\nDescription: testing kto dataset during training\n\nIt achieves the following results on the eval... | [
"TAGS\n#trl #safetensors #KTO #WeniGPT #pt #base_model-HuggingFaceH4/zephyr-7b-beta #license-mit #region-us \n",
"# Weni/WeniGPT-Agents-Zephyr-1.0.0-KTO\n\nThis model is a fine-tuned version of [HuggingFaceH4/zephyr-7b-beta] on the dataset Weni/wenigpt-agent-1.2.0 with the KTO trainer. It is part of the WeniGPT p... | [
43,
301,
19,
30,
240,
5,
198,
10
] | [
"TAGS\n#trl #safetensors #KTO #WeniGPT #pt #base_model-HuggingFaceH4/zephyr-7b-beta #license-mit #region-us \n# Weni/WeniGPT-Agents-Zephyr-1.0.0-KTO\n\nThis model is a fine-tuned version of [HuggingFaceH4/zephyr-7b-beta] on the dataset Weni/wenigpt-agent-1.2.0 with the KTO trainer. It is part of the WeniGPT project... |
image-classification | timm | # Model card for rdnet_base.nv_in1k
A RDNet image classification model. Trained on ImageNet-1k, original torchvision weights.
## Model Details
- **Model Type:** Image classification / feature backbone
- **Model Stats:**
- Imagenet-1k validation top-1 accuracy: 84.4%
- Params (M): 87
- GMACs: 15.4
- Image size... | {"license": "bsd-3-clause", "library_name": "timm", "tags": ["image-classification", "timm", "rdnet"], "datasets": ["imagenet-1k"]} | naver-ai/rdnet_base.nv_in1k | null | [
"timm",
"pytorch",
"image-classification",
"rdnet",
"dataset:imagenet-1k",
"arxiv:2403.19588",
"license:bsd-3-clause",
"region:us"
] | null | 2024-04-05T13:52:11+00:00 | [
"2403.19588"
] | [] | TAGS
#timm #pytorch #image-classification #rdnet #dataset-imagenet-1k #arxiv-2403.19588 #license-bsd-3-clause #region-us
| # Model card for rdnet_base.nv_in1k
A RDNet image classification model. Trained on ImageNet-1k, original torchvision weights.
## Model Details
- Model Type: Image classification / feature backbone
- Model Stats:
- Imagenet-1k validation top-1 accuracy: 84.4%
- Params (M): 87
- GMACs: 15.4
- Image size: 224 x ... | [
"# Model card for rdnet_base.nv_in1k\n\nA RDNet image classification model. Trained on ImageNet-1k, original torchvision weights.",
"## Model Details\n- Model Type: Image classification / feature backbone\n- Model Stats:\n - Imagenet-1k validation top-1 accuracy: 84.4%\n - Params (M): 87\n - GMACs: 15.4\n - I... | [
"TAGS\n#timm #pytorch #image-classification #rdnet #dataset-imagenet-1k #arxiv-2403.19588 #license-bsd-3-clause #region-us \n",
"# Model card for rdnet_base.nv_in1k\n\nA RDNet image classification model. Trained on ImageNet-1k, original torchvision weights.",
"## Model Details\n- Model Type: Image classificatio... | [
48,
35,
84,
4,
5,
6,
8
] | [
"TAGS\n#timm #pytorch #image-classification #rdnet #dataset-imagenet-1k #arxiv-2403.19588 #license-bsd-3-clause #region-us \n# Model card for rdnet_base.nv_in1k\n\nA RDNet image classification model. Trained on ImageNet-1k, original torchvision weights.## Model Details\n- Model Type: Image classification / feature ... |
sentence-similarity | sentence-transformers |
# luiz-and-robert-thesis/all-mpnet-base-v2-warmup-cosine-margin-1-epoch-1
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 (... | {"library_name": "sentence-transformers", "tags": ["sentence-transformers", "feature-extraction", "sentence-similarity"], "pipeline_tag": "sentence-similarity"} | luiz-and-robert-thesis/all-mpnet-base-v2-warmup-cosine-margin-1-epoch-1 | null | [
"sentence-transformers",
"safetensors",
"mpnet",
"feature-extraction",
"sentence-similarity",
"endpoints_compatible",
"region:us"
] | null | 2024-04-05T13:54:34+00:00 | [] | [] | TAGS
#sentence-transformers #safetensors #mpnet #feature-extraction #sentence-similarity #endpoints_compatible #region-us
|
# luiz-and-robert-thesis/all-mpnet-base-v2-warmup-cosine-margin-1-epoch-1
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 ... | [
"# luiz-and-robert-thesis/all-mpnet-base-v2-warmup-cosine-margin-1-epoch-1\n\nThis 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)\n\nUsing this model becomes ... | [
"TAGS\n#sentence-transformers #safetensors #mpnet #feature-extraction #sentence-similarity #endpoints_compatible #region-us \n",
"# luiz-and-robert-thesis/all-mpnet-base-v2-warmup-cosine-margin-1-epoch-1\n\nThis is a sentence-transformers model: It maps sentences & paragraphs to a 768 dimensional dense vector spa... | [
29,
69,
30,
26,
63,
5,
5
] | [
"TAGS\n#sentence-transformers #safetensors #mpnet #feature-extraction #sentence-similarity #endpoints_compatible #region-us \n# luiz-and-robert-thesis/all-mpnet-base-v2-warmup-cosine-margin-1-epoch-1\n\nThis is a sentence-transformers model: It maps sentences & paragraphs to a 768 dimensional dense vector space and... |
null | transformers |
# Uploaded model
- **Developed by:** funnyNeurons
- **License:** apache-2.0
- **Finetuned from model :** unsloth/gemma-2b-bnb-4bit
This gemma model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unslot... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "gemma", "trl"], "base_model": "unsloth/gemma-2b-bnb-4bit"} | funnyNeurons/gemma_text | null | [
"transformers",
"safetensors",
"text-generation-inference",
"unsloth",
"gemma",
"trl",
"en",
"base_model:unsloth/gemma-2b-bnb-4bit",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2024-04-05T13:55:18+00:00 | [] | [
"en"
] | TAGS
#transformers #safetensors #text-generation-inference #unsloth #gemma #trl #en #base_model-unsloth/gemma-2b-bnb-4bit #license-apache-2.0 #endpoints_compatible #region-us
|
# Uploaded model
- Developed by: funnyNeurons
- License: apache-2.0
- Finetuned from model : unsloth/gemma-2b-bnb-4bit
This gemma model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
| [
"# Uploaded model\n\n- Developed by: funnyNeurons\n- License: apache-2.0\n- Finetuned from model : unsloth/gemma-2b-bnb-4bit\n\nThis gemma model was trained 2x faster with Unsloth and Huggingface's TRL library.\n\n<img src=\"URL width=\"200\"/>"
] | [
"TAGS\n#transformers #safetensors #text-generation-inference #unsloth #gemma #trl #en #base_model-unsloth/gemma-2b-bnb-4bit #license-apache-2.0 #endpoints_compatible #region-us \n",
"# Uploaded model\n\n- Developed by: funnyNeurons\n- License: apache-2.0\n- Finetuned from model : unsloth/gemma-2b-bnb-4bit\n\nThi... | [
60,
77
] | [
"TAGS\n#transformers #safetensors #text-generation-inference #unsloth #gemma #trl #en #base_model-unsloth/gemma-2b-bnb-4bit #license-apache-2.0 #endpoints_compatible #region-us \n# Uploaded model\n\n- Developed by: funnyNeurons\n- License: apache-2.0\n- Finetuned from model : unsloth/gemma-2b-bnb-4bit\n\nThis gemm... |
translation | 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. -->
# marian-finetuned-kde4-en-to-fr
This model is a fine-tuned version of [Helsinki-NLP/opus-mt-en-fr](https://huggingface.co/Helsink... | {"license": "apache-2.0", "tags": ["translation", "generated_from_trainer"], "datasets": ["kde4"], "base_model": "Helsinki-NLP/opus-mt-en-fr", "model-index": [{"name": "marian-finetuned-kde4-en-to-fr", "results": []}]} | miktf/marian-finetuned-kde4-en-to-fr | null | [
"transformers",
"safetensors",
"marian",
"text2text-generation",
"translation",
"generated_from_trainer",
"dataset:kde4",
"base_model:Helsinki-NLP/opus-mt-en-fr",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-05T13:56:05+00:00 | [] | [] | TAGS
#transformers #safetensors #marian #text2text-generation #translation #generated_from_trainer #dataset-kde4 #base_model-Helsinki-NLP/opus-mt-en-fr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
|
# marian-finetuned-kde4-en-to-fr
This model is a fine-tuned version of Helsinki-NLP/opus-mt-en-fr on the kde4 dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Trainin... | [
"# marian-finetuned-kde4-en-to-fr\n\nThis model is a fine-tuned version of Helsinki-NLP/opus-mt-en-fr on the kde4 dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information needed",
"## Train... | [
"TAGS\n#transformers #safetensors #marian #text2text-generation #translation #generated_from_trainer #dataset-kde4 #base_model-Helsinki-NLP/opus-mt-en-fr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us \n",
"# marian-finetuned-kde4-en-to-fr\n\nThis model is a fine-tuned version of Helsi... | [
69,
45,
7,
9,
9,
4,
102,
5,
44
] | [
"TAGS\n#transformers #safetensors #marian #text2text-generation #translation #generated_from_trainer #dataset-kde4 #base_model-Helsinki-NLP/opus-mt-en-fr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us \n# marian-finetuned-kde4-en-to-fr\n\nThis model is a fine-tuned version of Helsinki-NL... |
image-classification | timm | # Model card for rdnet_large.nv_in1k
A RDNet image classification model. Trained on ImageNet-1k, original torchvision weights.
## Model Details
- **Model Type:** Image classification / feature backbone
- **Model Stats:**
- Imagenet-1k validation top-1 accuracy: 84.8%
- Params (M): 186
- GMACs: 34.7
- Image s... | {"license": "bsd-3-clause", "library_name": "timm", "tags": ["image-classification", "timm", "rdnet"], "datasets": ["imagenet-1k"]} | naver-ai/rdnet_large.nv_in1k | null | [
"timm",
"pytorch",
"image-classification",
"rdnet",
"dataset:imagenet-1k",
"arxiv:2403.19588",
"license:bsd-3-clause",
"region:us"
] | null | 2024-04-05T13:58:58+00:00 | [
"2403.19588"
] | [] | TAGS
#timm #pytorch #image-classification #rdnet #dataset-imagenet-1k #arxiv-2403.19588 #license-bsd-3-clause #region-us
| # Model card for rdnet_large.nv_in1k
A RDNet image classification model. Trained on ImageNet-1k, original torchvision weights.
## Model Details
- Model Type: Image classification / feature backbone
- Model Stats:
- Imagenet-1k validation top-1 accuracy: 84.8%
- Params (M): 186
- GMACs: 34.7
- Image size: 224... | [
"# Model card for rdnet_large.nv_in1k\n\nA RDNet image classification model. Trained on ImageNet-1k, original torchvision weights.",
"## Model Details\n- Model Type: Image classification / feature backbone\n- Model Stats:\n - Imagenet-1k validation top-1 accuracy: 84.8% \n - Params (M): 186\n - GMACs: 34.7\n ... | [
"TAGS\n#timm #pytorch #image-classification #rdnet #dataset-imagenet-1k #arxiv-2403.19588 #license-bsd-3-clause #region-us \n",
"# Model card for rdnet_large.nv_in1k\n\nA RDNet image classification model. Trained on ImageNet-1k, original torchvision weights.",
"## Model Details\n- Model Type: Image classificati... | [
48,
35,
84,
4,
5,
6,
8
] | [
"TAGS\n#timm #pytorch #image-classification #rdnet #dataset-imagenet-1k #arxiv-2403.19588 #license-bsd-3-clause #region-us \n# Model card for rdnet_large.nv_in1k\n\nA RDNet image classification model. Trained on ImageNet-1k, original torchvision weights.## Model Details\n- Model Type: Image classification / feature... |
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. -->
# phi2-ss_cefr-0.1
This model is a fine-tuned version of [microsoft/phi-2](https://huggingface.co/microsoft/phi-2) on the generato... | {"license": "mit", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "datasets": ["generator"], "base_model": "microsoft/phi-2", "model-index": [{"name": "phi2-ss_cefr-0.1", "results": []}]} | ghaluh/phi2-ss_cefr-0.1 | null | [
"peft",
"safetensors",
"trl",
"sft",
"generated_from_trainer",
"dataset:generator",
"base_model:microsoft/phi-2",
"license:mit",
"region:us"
] | null | 2024-04-05T14:01:57+00:00 | [] | [] | TAGS
#peft #safetensors #trl #sft #generated_from_trainer #dataset-generator #base_model-microsoft/phi-2 #license-mit #region-us
|
# phi2-ss_cefr-0.1
This model is a fine-tuned version of microsoft/phi-2 on the generator dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
T... | [
"# phi2-ss_cefr-0.1\n\nThis model is a fine-tuned version of microsoft/phi-2 on the generator dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information needed",
"## Training procedure",
"#... | [
"TAGS\n#peft #safetensors #trl #sft #generated_from_trainer #dataset-generator #base_model-microsoft/phi-2 #license-mit #region-us \n",
"# phi2-ss_cefr-0.1\n\nThis model is a fine-tuned version of microsoft/phi-2 on the generator dataset.",
"## Model description\n\nMore information needed",
"## Intended uses ... | [
43,
32,
7,
9,
9,
4,
126,
5,
52
] | [
"TAGS\n#peft #safetensors #trl #sft #generated_from_trainer #dataset-generator #base_model-microsoft/phi-2 #license-mit #region-us \n# phi2-ss_cefr-0.1\n\nThis model is a fine-tuned version of microsoft/phi-2 on the generator dataset.## Model description\n\nMore information needed## Intended uses & limitations\n\nM... |
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. -->
# timesformer-base-finetuned-k400-finetuned-kinetic400-subset-epoch6-num_frame_10_full_time_space
This model is a fine-tuned versi... | {"license": "cc-by-nc-4.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "facebook/timesformer-base-finetuned-k400", "model-index": [{"name": "timesformer-base-finetuned-k400-finetuned-kinetic400-subset-epoch6-num_frame_10_full_time_space", "results": []}]} | JackWong0911/timesformer-base-finetuned-k400-finetuned-kinetic400-subset-epoch6-num_frame_10_full_time_space | null | [
"transformers",
"tensorboard",
"safetensors",
"timesformer",
"video-classification",
"generated_from_trainer",
"base_model:facebook/timesformer-base-finetuned-k400",
"license:cc-by-nc-4.0",
"endpoints_compatible",
"region:us"
] | null | 2024-04-05T14:02:21+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #timesformer #video-classification #generated_from_trainer #base_model-facebook/timesformer-base-finetuned-k400 #license-cc-by-nc-4.0 #endpoints_compatible #region-us
| timesformer-base-finetuned-k400-finetuned-kinetic400-subset-epoch6-num\_frame\_10\_full\_time\_space
====================================================================================================
This model is a fine-tuned version of facebook/timesformer-base-finetuned-k400 on an unknown dataset.
It achieves th... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 1\n* eval\\_batch\\_size: 1\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* lr\\_scheduler\\_warmup\\_ratio: ... | [
"TAGS\n#transformers #tensorboard #safetensors #timesformer #video-classification #generated_from_trainer #base_model-facebook/timesformer-base-finetuned-k400 #license-cc-by-nc-4.0 #endpoints_compatible #region-us \n",
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n... | [
64,
117,
5,
35
] | [
"TAGS\n#transformers #tensorboard #safetensors #timesformer #video-classification #generated_from_trainer #base_model-facebook/timesformer-base-finetuned-k400 #license-cc-by-nc-4.0 #endpoints_compatible #region-us \n### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* le... |
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. -->
# Medilora-Mistral-7B_disease
This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/M... | {"license": "apache-2.0", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "datasets": ["generator"], "base_model": "mistralai/Mistral-7B-v0.1", "model-index": [{"name": "Medilora-Mistral-7B_disease", "results": []}]} | nlux/Medilora-Mistral-7B_disease | null | [
"peft",
"tensorboard",
"safetensors",
"trl",
"sft",
"generated_from_trainer",
"dataset:generator",
"base_model:mistralai/Mistral-7B-v0.1",
"license:apache-2.0",
"region:us"
] | null | 2024-04-05T14:03:26+00:00 | [] | [] | TAGS
#peft #tensorboard #safetensors #trl #sft #generated_from_trainer #dataset-generator #base_model-mistralai/Mistral-7B-v0.1 #license-apache-2.0 #region-us
|
# Medilora-Mistral-7B_disease
This model is a fine-tuned version of mistralai/Mistral-7B-v0.1 on the generator dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Traini... | [
"# Medilora-Mistral-7B_disease\n\nThis model is a fine-tuned version of mistralai/Mistral-7B-v0.1 on the generator dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information needed",
"## Trai... | [
"TAGS\n#peft #tensorboard #safetensors #trl #sft #generated_from_trainer #dataset-generator #base_model-mistralai/Mistral-7B-v0.1 #license-apache-2.0 #region-us \n",
"# Medilora-Mistral-7B_disease\n\nThis model is a fine-tuned version of mistralai/Mistral-7B-v0.1 on the generator dataset.",
"## Model descriptio... | [
59,
41,
7,
9,
9,
4,
126,
5,
62
] | [
"TAGS\n#peft #tensorboard #safetensors #trl #sft #generated_from_trainer #dataset-generator #base_model-mistralai/Mistral-7B-v0.1 #license-apache-2.0 #region-us \n# Medilora-Mistral-7B_disease\n\nThis model is a fine-tuned version of mistralai/Mistral-7B-v0.1 on the generator dataset.## Model description\n\nMore in... |
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": []} | ntvcie/gemma_Vinh_test_05 | null | [
"transformers",
"safetensors",
"gemma",
"text-generation",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-05T14:04:30+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #gemma #text-generation #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Developed by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Model type: \n- Language(s)... | [
"TAGS\n#transformers #safetensors #gemma #text-generation #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed... | [
43,
6,
4,
75,
23,
3,
5,
8,
9,
8,
34,
20,
4,
5,
5,
11,
13,
12,
3,
10,
6,
5,
6,
4,
5,
7,
49,
7,
7,
5,
5,
15,
7,
7,
8,
5
] | [
"TAGS\n#transformers #safetensors #gemma #text-generation #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n# Model Card for Model ID## Model Details### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This ... |
summarization | fairseq | # 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).
## Mod... | {"language": ["ru"], "library_name": "fairseq", "tags": ["not-for-all-audiences"], "datasets": ["IlyaGusev/gazeta"], "metrics": ["bleu"], "pipeline_tag": "summarization"} | pukislav/mbart_ru_sum_v1 | null | [
"fairseq",
"safetensors",
"t5",
"not-for-all-audiences",
"summarization",
"ru",
"dataset:IlyaGusev/gazeta",
"arxiv:1910.09700",
"region:us"
] | null | 2024-04-05T14:04:39+00:00 | [
"1910.09700"
] | [
"ru"
] | TAGS
#fairseq #safetensors #t5 #not-for-all-audiences #summarization #ru #dataset-IlyaGusev/gazeta #arxiv-1910.09700 #region-us
| # 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
### Model Description
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License:
- Finetuned from model [... | [
"# Model Card for Model ID\n\n\n\nThis modelcard aims to be a base template for new models. It has been generated using this raw template.",
"## Model Details",
"### Model Description\n\n\n\n\n\n- Developed by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Model type: \n- Language(s) (NLP): \n- Licens... | [
"TAGS\n#fairseq #safetensors #t5 #not-for-all-audiences #summarization #ru #dataset-IlyaGusev/gazeta #arxiv-1910.09700 #region-us \n",
"# Model Card for Model ID\n\n\n\nThis modelcard aims to be a base template for new models. It has been generated using this raw template.",
"## Model Details",
"### Model Des... | [
51,
28,
4,
50,
23,
3,
5,
8,
9,
8,
34,
20,
4,
5,
5,
11,
13,
12,
3,
10,
6,
5,
6,
4,
5,
7,
49,
7,
7,
5,
5,
15,
7,
7,
8,
5
] | [
"TAGS\n#fairseq #safetensors #t5 #not-for-all-audiences #summarization #ru #dataset-IlyaGusev/gazeta #arxiv-1910.09700 #region-us \n# Model Card for Model ID\n\n\n\nThis modelcard aims to be a base template for new models. It has been generated using this raw template.## Model Details### Model Description\n\n\n\n\n... |
text2text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
convert text to sql better (that db schema is need it in the context)
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatic... | {"library_name": "transformers", "pipeline_tag": "text2text-generation"} | aminlouhichi/gemma-Code-sql_v2 | null | [
"transformers",
"safetensors",
"gemma",
"text-generation",
"text2text-generation",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-05T14:04:49+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #gemma #text-generation #text2text-generation #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
convert text to sql better (that db schema is need it in the context)
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: Amin Louhichi
- Funded by [o... | [
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\nconvert text to sql better (that db schema is need it in the context)\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Developed by: Amin Louhichi\... | [
"TAGS\n#transformers #safetensors #gemma #text-generation #text2text-generation #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\nconvert text to sql better (that db schema is need... | [
49,
6,
4,
106,
23,
3,
5,
8,
9,
8,
34,
20,
4,
5,
5,
11,
13,
12,
3,
10,
6,
5,
6,
4,
5,
7,
49,
7,
7,
5,
5,
15,
7,
7,
8,
5
] | [
"TAGS\n#transformers #safetensors #gemma #text-generation #text2text-generation #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n# Model Card for Model ID## Model Details### Model Description\n\nconvert text to sql better (that db schema is need it in the context... |
null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/ichigoberry/pandafish-2-7b-32k
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do not s... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["merge", "mergekit", "lazymergekit", "mistralai/Mistral-7B-Instruct-v0.2", "cognitivecomputations/dolphin-2.8-mistral-7b-v02"], "base_model": "ichigoberry/pandafish-2-7b-32k", "quantized_by": "mradermacher"} | mradermacher/pandafish-2-7b-32k-GGUF | null | [
"transformers",
"gguf",
"merge",
"mergekit",
"lazymergekit",
"mistralai/Mistral-7B-Instruct-v0.2",
"cognitivecomputations/dolphin-2.8-mistral-7b-v02",
"en",
"base_model:ichigoberry/pandafish-2-7b-32k",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2024-04-05T14:05:35+00:00 | [] | [
"en"
] | TAGS
#transformers #gguf #merge #mergekit #lazymergekit #mistralai/Mistral-7B-Instruct-v0.2 #cognitivecomputations/dolphin-2.8-mistral-7b-v02 #en #base_model-ichigoberry/pandafish-2-7b-32k #license-apache-2.0 #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... | [] | [
"TAGS\n#transformers #gguf #merge #mergekit #lazymergekit #mistralai/Mistral-7B-Instruct-v0.2 #cognitivecomputations/dolphin-2.8-mistral-7b-v02 #en #base_model-ichigoberry/pandafish-2-7b-32k #license-apache-2.0 #endpoints_compatible #region-us \n"
] | [
94
] | [
"TAGS\n#transformers #gguf #merge #mergekit #lazymergekit #mistralai/Mistral-7B-Instruct-v0.2 #cognitivecomputations/dolphin-2.8-mistral-7b-v02 #en #base_model-ichigoberry/pandafish-2-7b-32k #license-apache-2.0 #endpoints_compatible #region-us \n"
] |
text-generation | transformers | # LemonadeRP-4.5.3-11B
I just wanted to see how easy it is to create some frankenmerge type stuff. I was thinking of trying to do this with multiple models though I would probably have to first merge those the more normal way and then make them into 11B like this.
This is a merge of pre-trained language models create... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["KatyTheCutie/LemonadeRP-4.5.3"]} | mpasila/LemonadeRP-4.5.3-11B | null | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"mergekit",
"merge",
"base_model:KatyTheCutie/LemonadeRP-4.5.3",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-05T14:06:42+00:00 | [] | [] | TAGS
#transformers #safetensors #mistral #text-generation #mergekit #merge #base_model-KatyTheCutie/LemonadeRP-4.5.3 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| # LemonadeRP-4.5.3-11B
I just wanted to see how easy it is to create some frankenmerge type stuff. I was thinking of trying to do this with multiple models though I would probably have to first merge those the more normal way and then make them into 11B like this.
This is a merge of pre-trained language models create... | [
"# LemonadeRP-4.5.3-11B\n\nI just wanted to see how easy it is to create some frankenmerge type stuff. I was thinking of trying to do this with multiple models though I would probably have to first merge those the more normal way and then make them into 11B like this.\n\nThis is a merge of pre-trained language mode... | [
"TAGS\n#transformers #safetensors #mistral #text-generation #mergekit #merge #base_model-KatyTheCutie/LemonadeRP-4.5.3 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
"# LemonadeRP-4.5.3-11B\n\nI just wanted to see how easy it is to create some frankenmerge type stuff. I was... | [
58,
81,
4,
18,
29,
16
] | [
"TAGS\n#transformers #safetensors #mistral #text-generation #mergekit #merge #base_model-KatyTheCutie/LemonadeRP-4.5.3 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n# LemonadeRP-4.5.3-11B\n\nI just wanted to see how easy it is to create some frankenmerge type stuff. I was think... |
text-generation | transformers | This is a depth up scalled model of the 616M cinder model and Cinder v2. This model still needs further training. Putting it up for testing. More information coming. Maybe. Lol. Here is a brief desc of the project: Im mixing a lot of techniques I guess that I found interesting and have been testing, HF Cosmo is not gre... | {"license": "mit"} | Josephgflowers/Tinyllama-1.5B-Cinder-Test-2 | null | [
"transformers",
"safetensors",
"llama",
"text-generation",
"conversational",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-05T14:07:47+00:00 | [] | [] | TAGS
#transformers #safetensors #llama #text-generation #conversational #license-mit #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| This is a depth up scalled model of the 616M cinder model and Cinder v2. This model still needs further training. Putting it up for testing. More information coming. Maybe. Lol. Here is a brief desc of the project: Im mixing a lot of techniques I guess that I found interesting and have been testing, HF Cosmo is not gre... | [] | [
"TAGS\n#transformers #safetensors #llama #text-generation #conversational #license-mit #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n"
] | [
41
] | [
"TAGS\n#transformers #safetensors #llama #text-generation #conversational #license-mit #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n"
] |
text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# Mongolian_GPT_FakeNews_Comprehendo
This model is a fine-tuned version of [knowledgator/comprehend_it-base](https://huggingface.c... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "knowledgator/comprehend_it-base", "model-index": [{"name": "Mongolian_GPT_FakeNews_Comprehendo", "results": []}]} | vaibhav1/Mongolian_GPT_FakeNews_Comprehendo | null | [
"transformers",
"tensorboard",
"safetensors",
"deberta-v2",
"text-classification",
"generated_from_trainer",
"base_model:knowledgator/comprehend_it-base",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-05T14:09:56+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #deberta-v2 #text-classification #generated_from_trainer #base_model-knowledgator/comprehend_it-base #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
| Mongolian\_GPT\_FakeNews\_Comprehendo
=====================================
This model is a fine-tuned version of knowledgator/comprehend\_it-base on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 1.3175
* Accuracy: 0.8393
Model description
-----------------
More informatio... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 3e-05\n* train\\_batch\\_size: 16\n* eval\\_batch\\_size: 3\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 30",
"### Traini... | [
"TAGS\n#transformers #tensorboard #safetensors #deberta-v2 #text-classification #generated_from_trainer #base_model-knowledgator/comprehend_it-base #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us \n",
"### Training hyperparameters\n\n\nThe following hyperparameters were used during trai... | [
64,
101,
5,
44
] | [
"TAGS\n#transformers #tensorboard #safetensors #deberta-v2 #text-classification #generated_from_trainer #base_model-knowledgator/comprehend_it-base #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us \n### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\... |
null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/akrads/ClaudeLimaRP-Maid-10.7B
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do not s... | {"language": ["en"], "library_name": "transformers", "tags": ["merge", "mergekit", "lazymergekit", "Undi95/Mistral-ClaudeLimaRP-v3-7B", "SanjiWatsuki/Silicon-Maid-7B"], "base_model": "akrads/ClaudeLimaRP-Maid-10.7B", "quantized_by": "mradermacher"} | mradermacher/ClaudeLimaRP-Maid-10.7B-GGUF | null | [
"transformers",
"gguf",
"merge",
"mergekit",
"lazymergekit",
"Undi95/Mistral-ClaudeLimaRP-v3-7B",
"SanjiWatsuki/Silicon-Maid-7B",
"en",
"base_model:akrads/ClaudeLimaRP-Maid-10.7B",
"endpoints_compatible",
"region:us"
] | null | 2024-04-05T14:16:23+00:00 | [] | [
"en"
] | TAGS
#transformers #gguf #merge #mergekit #lazymergekit #Undi95/Mistral-ClaudeLimaRP-v3-7B #SanjiWatsuki/Silicon-Maid-7B #en #base_model-akrads/ClaudeLimaRP-Maid-10.7B #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... | [] | [
"TAGS\n#transformers #gguf #merge #mergekit #lazymergekit #Undi95/Mistral-ClaudeLimaRP-v3-7B #SanjiWatsuki/Silicon-Maid-7B #en #base_model-akrads/ClaudeLimaRP-Maid-10.7B #endpoints_compatible #region-us \n"
] | [
80
] | [
"TAGS\n#transformers #gguf #merge #mergekit #lazymergekit #Undi95/Mistral-ClaudeLimaRP-v3-7B #SanjiWatsuki/Silicon-Maid-7B #en #base_model-akrads/ClaudeLimaRP-Maid-10.7B #endpoints_compatible #region-us \n"
] |
null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | anishhs001/biology-falcon-7b | null | [
"transformers",
"safetensors",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-04-05T14:20:49+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Developed by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Model type: \n- Language(s)... | [
"TAGS\n#transformers #safetensors #arxiv-1910.09700 #endpoints_compatible #region-us \n",
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Devel... | [
26,
6,
4,
75,
23,
3,
5,
8,
9,
8,
34,
20,
4,
5,
5,
11,
13,
12,
3,
10,
6,
5,
6,
4,
5,
7,
49,
7,
7,
5,
5,
15,
7,
7,
8,
5
] | [
"TAGS\n#transformers #safetensors #arxiv-1910.09700 #endpoints_compatible #region-us \n# Model Card for Model ID## Model Details### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Developed by: \n- Funde... |
null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
weighted/imatrix quants of https://huggingface.co/nitky/Swallow-70b-NVE-RP
<!-- provided-files -->
static quants are available at https://huggingface.co/mradermacher/Swallow-70b-NVE-... | {"language": ["en"], "license": "llama2", "library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": "nitky/Swallow-70b-NVE-RP", "model_type": "llama", "quantized_by": "mradermacher"} | mradermacher/Swallow-70b-NVE-RP-i1-GGUF | null | [
"transformers",
"gguf",
"mergekit",
"merge",
"en",
"base_model:nitky/Swallow-70b-NVE-RP",
"license:llama2",
"endpoints_compatible",
"region:us"
] | null | 2024-04-05T14:20:52+00:00 | [] | [
"en"
] | TAGS
#transformers #gguf #mergekit #merge #en #base_model-nitky/Swallow-70b-NVE-RP #license-llama2 #endpoints_compatible #region-us
| About
-----
weighted/imatrix quants of URL
static quants are available at URL
Usage
-----
If you are unsure how to use GGUF files, refer to one of TheBloke's
READMEs for
more details, including on how to concatenate multi-part files.
Provided Quants
---------------
(sorted by size, not necessarily quality. ... | [] | [
"TAGS\n#transformers #gguf #mergekit #merge #en #base_model-nitky/Swallow-70b-NVE-RP #license-llama2 #endpoints_compatible #region-us \n"
] | [
48
] | [
"TAGS\n#transformers #gguf #mergekit #merge #en #base_model-nitky/Swallow-70b-NVE-RP #license-llama2 #endpoints_compatible #region-us \n"
] |
text-to-image | diffusers | copied from selai-mix | {"license": "creativeml-openrail-m", "tags": ["text-to-image", "stable-diffusion", "diffusers"], "widget": [{"text": "masterpiece forest"}]} | ccc8/c7 | null | [
"diffusers",
"safetensors",
"text-to-image",
"stable-diffusion",
"license:creativeml-openrail-m",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
] | null | 2024-04-05T14:21:58+00:00 | [] | [] | TAGS
#diffusers #safetensors #text-to-image #stable-diffusion #license-creativeml-openrail-m #endpoints_compatible #diffusers-StableDiffusionPipeline #region-us
| copied from selai-mix | [] | [
"TAGS\n#diffusers #safetensors #text-to-image #stable-diffusion #license-creativeml-openrail-m #endpoints_compatible #diffusers-StableDiffusionPipeline #region-us \n"
] | [
47
] | [
"TAGS\n#diffusers #safetensors #text-to-image #stable-diffusion #license-creativeml-openrail-m #endpoints_compatible #diffusers-StableDiffusionPipeline #region-us \n"
] |
reinforcement-learning | stable-baselines3 |
# **DQN** Agent playing **SpaceInvadersNoFrameskip-v4**
This is a trained model of a **DQN** agent playing **SpaceInvadersNoFrameskip-v4**
using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3)
and the [RL Zoo](https://github.com/DLR-RM/rl-baselines3-zoo).
The RL Zoo is a training framewor... | {"library_name": "stable-baselines3", "tags": ["SpaceInvadersNoFrameskip-v4", "deep-reinforcement-learning", "reinforcement-learning", "stable-baselines3"], "model-index": [{"name": "DQN", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "SpaceInvadersNoFram... | yann-j/dqn-SpaceInvadersNoFrameskip-v4-b | null | [
"stable-baselines3",
"SpaceInvadersNoFrameskip-v4",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | null | 2024-04-05T14:23:28+00:00 | [] | [] | TAGS
#stable-baselines3 #SpaceInvadersNoFrameskip-v4 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
# DQN Agent playing SpaceInvadersNoFrameskip-v4
This is a trained model of a DQN agent playing SpaceInvadersNoFrameskip-v4
using the stable-baselines3 library
and the RL Zoo.
The RL Zoo is a training framework for Stable Baselines3
reinforcement learning agents,
with hyperparameter optimization and pre-trained agents... | [
"# DQN Agent playing SpaceInvadersNoFrameskip-v4\nThis is a trained model of a DQN agent playing SpaceInvadersNoFrameskip-v4\nusing the stable-baselines3 library\nand the RL Zoo.\n\nThe RL Zoo is a training framework for Stable Baselines3\nreinforcement learning agents,\nwith hyperparameter optimization and pre-tra... | [
"TAGS\n#stable-baselines3 #SpaceInvadersNoFrameskip-v4 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us \n",
"# DQN Agent playing SpaceInvadersNoFrameskip-v4\nThis is a trained model of a DQN agent playing SpaceInvadersNoFrameskip-v4\nusing the stable-baselines3 library\nand the RL Zoo... | [
37,
81,
76,
10,
6,
3
] | [
"TAGS\n#stable-baselines3 #SpaceInvadersNoFrameskip-v4 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us \n# DQN Agent playing SpaceInvadersNoFrameskip-v4\nThis is a trained model of a DQN agent playing SpaceInvadersNoFrameskip-v4\nusing the stable-baselines3 library\nand the RL Zoo.\n\nT... |
text-generation | transformers |
# Uploaded model
- **Developed by:** funnyNeurons
- **License:** apache-2.0
- **Finetuned from model :** unsloth/gemma-2b-bnb-4bit
This gemma model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unslot... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "gemma", "trl", "sft"], "base_model": "unsloth/gemma-2b-bnb-4bit"} | funnyNeurons/gemma | null | [
"transformers",
"safetensors",
"gemma",
"text-generation",
"text-generation-inference",
"unsloth",
"trl",
"sft",
"conversational",
"en",
"base_model:unsloth/gemma-2b-bnb-4bit",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"4-bit",
"region:us"
] | null | 2024-04-05T14:26:13+00:00 | [] | [
"en"
] | TAGS
#transformers #safetensors #gemma #text-generation #text-generation-inference #unsloth #trl #sft #conversational #en #base_model-unsloth/gemma-2b-bnb-4bit #license-apache-2.0 #autotrain_compatible #endpoints_compatible #4-bit #region-us
|
# Uploaded model
- Developed by: funnyNeurons
- License: apache-2.0
- Finetuned from model : unsloth/gemma-2b-bnb-4bit
This gemma model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
| [
"# Uploaded model\n\n- Developed by: funnyNeurons\n- License: apache-2.0\n- Finetuned from model : unsloth/gemma-2b-bnb-4bit\n\nThis gemma model was trained 2x faster with Unsloth and Huggingface's TRL library.\n\n<img src=\"URL width=\"200\"/>"
] | [
"TAGS\n#transformers #safetensors #gemma #text-generation #text-generation-inference #unsloth #trl #sft #conversational #en #base_model-unsloth/gemma-2b-bnb-4bit #license-apache-2.0 #autotrain_compatible #endpoints_compatible #4-bit #region-us \n",
"# Uploaded model\n\n- Developed by: funnyNeurons\n- License: ap... | [
79,
77
] | [
"TAGS\n#transformers #safetensors #gemma #text-generation #text-generation-inference #unsloth #trl #sft #conversational #en #base_model-unsloth/gemma-2b-bnb-4bit #license-apache-2.0 #autotrain_compatible #endpoints_compatible #4-bit #region-us \n# Uploaded model\n\n- Developed by: funnyNeurons\n- License: apache-2... |
image-classification | timm | # Model card for rdnet_large.nv_in1k_ft_in1k_384
A RDNet image classification model. Trained on ImageNet-1k, original torchvision weights.
## Model Details
- **Model Type:** Image classification / feature backbone
- **Model Stats:**
- Imagenet-1k validation top-1 accuracy: 85.8%
- Params (M): 186
- GMACs: 101.... | {"license": "bsd-3-clause", "library_name": "timm", "tags": ["image-classification", "timm", "rdnet"], "datasets": ["imagenet-1k"]} | naver-ai/rdnet_large.nv_in1k_ft_in1k_384 | null | [
"timm",
"pytorch",
"image-classification",
"rdnet",
"dataset:imagenet-1k",
"arxiv:2403.19588",
"license:bsd-3-clause",
"region:us"
] | null | 2024-04-05T14:26:39+00:00 | [
"2403.19588"
] | [] | TAGS
#timm #pytorch #image-classification #rdnet #dataset-imagenet-1k #arxiv-2403.19588 #license-bsd-3-clause #region-us
| # Model card for rdnet_large.nv_in1k_ft_in1k_384
A RDNet image classification model. Trained on ImageNet-1k, original torchvision weights.
## Model Details
- Model Type: Image classification / feature backbone
- Model Stats:
- Imagenet-1k validation top-1 accuracy: 85.8%
- Params (M): 186
- GMACs: 101.9
- Im... | [
"# Model card for rdnet_large.nv_in1k_ft_in1k_384\n\nA RDNet image classification model. Trained on ImageNet-1k, original torchvision weights.",
"## Model Details\n- Model Type: Image classification / feature backbone\n- Model Stats:\n - Imagenet-1k validation top-1 accuracy: 85.8% \n - Params (M): 186\n - GMA... | [
"TAGS\n#timm #pytorch #image-classification #rdnet #dataset-imagenet-1k #arxiv-2403.19588 #license-bsd-3-clause #region-us \n",
"# Model card for rdnet_large.nv_in1k_ft_in1k_384\n\nA RDNet image classification model. Trained on ImageNet-1k, original torchvision weights.",
"## Model Details\n- Model Type: Image ... | [
48,
44,
86,
4,
5,
6,
8
] | [
"TAGS\n#timm #pytorch #image-classification #rdnet #dataset-imagenet-1k #arxiv-2403.19588 #license-bsd-3-clause #region-us \n# Model card for rdnet_large.nv_in1k_ft_in1k_384\n\nA RDNet image classification model. Trained on ImageNet-1k, original torchvision weights.## Model Details\n- Model Type: Image classificati... |
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": []} | anishhs001/generalist-falcon-7b | null | [
"transformers",
"safetensors",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-04-05T14:27:52+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Developed by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Model type: \n- Language(s)... | [
"TAGS\n#transformers #safetensors #arxiv-1910.09700 #endpoints_compatible #region-us \n",
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Devel... | [
26,
6,
4,
75,
23,
3,
5,
8,
9,
8,
34,
20,
4,
5,
5,
11,
13,
12,
3,
10,
6,
5,
6,
4,
5,
7,
49,
7,
7,
5,
5,
15,
7,
7,
8,
5
] | [
"TAGS\n#transformers #safetensors #arxiv-1910.09700 #endpoints_compatible #region-us \n# Model Card for Model ID## Model Details### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Developed by: \n- Funde... |
text-generation | transformers |
# 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": []} | Yasusan/test_llama2_v2 | null | [
"transformers",
"safetensors",
"llama",
"text-generation",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-05T14:31:17+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #llama #text-generation #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Developed by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Model type: \n- Language(s)... | [
"TAGS\n#transformers #safetensors #llama #text-generation #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed... | [
44,
6,
4,
75,
23,
3,
5,
8,
9,
8,
34,
20,
4,
5,
5,
11,
13,
12,
3,
10,
6,
5,
6,
4,
5,
7,
49,
7,
7,
5,
5,
15,
7,
7,
8,
5
] | [
"TAGS\n#transformers #safetensors #llama #text-generation #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n# Model Card for Model ID## Model Details### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This ... |
text2text-generation | transformers | Created for IN9550 assignment.
| {} | SushantGautam/t5-Summarizer | null | [
"transformers",
"safetensors",
"t5",
"text2text-generation",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-05T14:33:16+00:00 | [] | [] | TAGS
#transformers #safetensors #t5 #text2text-generation #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| Created for IN9550 assignment.
| [] | [
"TAGS\n#transformers #safetensors #t5 #text2text-generation #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n"
] | [
36
] | [
"TAGS\n#transformers #safetensors #t5 #text2text-generation #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n"
] |
null | transformers |
# Uploaded model
- **Developed by:** wendlerc
- **License:** apache-2.0
- **Finetuned from model :** unsloth/mistral-7b-v0.2-bnb-4bit
This mistral model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/u... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl"], "base_model": "unsloth/mistral-7b-v0.2-bnb-4bit"} | wendlerc/gsm8k-mistral-7b-v2-qlora | null | [
"transformers",
"safetensors",
"text-generation-inference",
"unsloth",
"mistral",
"trl",
"en",
"base_model:unsloth/mistral-7b-v0.2-bnb-4bit",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2024-04-05T14:34:24+00:00 | [] | [
"en"
] | TAGS
#transformers #safetensors #text-generation-inference #unsloth #mistral #trl #en #base_model-unsloth/mistral-7b-v0.2-bnb-4bit #license-apache-2.0 #endpoints_compatible #region-us
|
# Uploaded model
- Developed by: wendlerc
- License: apache-2.0
- Finetuned from model : unsloth/mistral-7b-v0.2-bnb-4bit
This mistral model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
| [
"# Uploaded model\n\n- Developed by: wendlerc\n- License: apache-2.0\n- Finetuned from model : unsloth/mistral-7b-v0.2-bnb-4bit\n\nThis mistral model was trained 2x faster with Unsloth and Huggingface's TRL library.\n\n<img src=\"URL width=\"200\"/>"
] | [
"TAGS\n#transformers #safetensors #text-generation-inference #unsloth #mistral #trl #en #base_model-unsloth/mistral-7b-v0.2-bnb-4bit #license-apache-2.0 #endpoints_compatible #region-us \n",
"# Uploaded model\n\n- Developed by: wendlerc\n- License: apache-2.0\n- Finetuned from model : unsloth/mistral-7b-v0.2-bnb... | [
67,
83
] | [
"TAGS\n#transformers #safetensors #text-generation-inference #unsloth #mistral #trl #en #base_model-unsloth/mistral-7b-v0.2-bnb-4bit #license-apache-2.0 #endpoints_compatible #region-us \n# Uploaded model\n\n- Developed by: wendlerc\n- License: apache-2.0\n- Finetuned from model : unsloth/mistral-7b-v0.2-bnb-4bit\... |
text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# 0.001_idpo_iter_2
This model is a fine-tuned version of [ShenaoZhang/0.001_idpo_iter_1](https://huggingface.co/ShenaoZhang/0.001... | {"license": "mit", "tags": ["alignment-handbook", "generated_from_trainer", "trl", "dpo", "generated_from_trainer"], "datasets": ["ShenaoZhang/0.001_idpo_dataset"], "base_model": "ShenaoZhang/0.001_idpo_iter_1", "model-index": [{"name": "0.001_idpo_iter_2", "results": []}]} | ShenaoZhang/0.001_idpo_iter_2 | null | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"alignment-handbook",
"generated_from_trainer",
"trl",
"dpo",
"conversational",
"dataset:ShenaoZhang/0.001_idpo_dataset",
"base_model:ShenaoZhang/0.001_idpo_iter_1",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
... | null | 2024-04-05T14:34:55+00:00 | [] | [] | TAGS
#transformers #safetensors #mistral #text-generation #alignment-handbook #generated_from_trainer #trl #dpo #conversational #dataset-ShenaoZhang/0.001_idpo_dataset #base_model-ShenaoZhang/0.001_idpo_iter_1 #license-mit #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# 0.001_idpo_iter_2
This model is a fine-tuned version of ShenaoZhang/0.001_idpo_iter_1 on the ShenaoZhang/0.001_idpo_dataset dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training proced... | [
"# 0.001_idpo_iter_2\n\nThis model is a fine-tuned version of ShenaoZhang/0.001_idpo_iter_1 on the ShenaoZhang/0.001_idpo_dataset dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information need... | [
"TAGS\n#transformers #safetensors #mistral #text-generation #alignment-handbook #generated_from_trainer #trl #dpo #conversational #dataset-ShenaoZhang/0.001_idpo_dataset #base_model-ShenaoZhang/0.001_idpo_iter_1 #license-mit #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
"#... | [
96,
56,
7,
9,
9,
4,
155,
5,
44
] | [
"TAGS\n#transformers #safetensors #mistral #text-generation #alignment-handbook #generated_from_trainer #trl #dpo #conversational #dataset-ShenaoZhang/0.001_idpo_dataset #base_model-ShenaoZhang/0.001_idpo_iter_1 #license-mit #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n# 0.001... |
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. -->
# base_model_custom_tokenizer
This model is a fine-tuned version of [t5-base](https://huggingface.co/t5-base) on the code_search_n... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["code_search_net"], "metrics": ["bleu"], "base_model": "t5-base", "model-index": [{"name": "base_model_custom_tokenizer", "results": [{"task": {"type": "text2text-generation", "name": "Sequence-to-sequence Language Modeling"}, "dataset": {"name"... | sc20fg/base_model_custom_tokenizer | null | [
"transformers",
"safetensors",
"t5",
"text2text-generation",
"generated_from_trainer",
"dataset:code_search_net",
"base_model:t5-base",
"license:apache-2.0",
"model-index",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-05T14:35:18+00:00 | [] | [] | TAGS
#transformers #safetensors #t5 #text2text-generation #generated_from_trainer #dataset-code_search_net #base_model-t5-base #license-apache-2.0 #model-index #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| base\_model\_custom\_tokenizer
==============================
This model is a fine-tuned version of t5-base on the code\_search\_net dataset.
It achieves the following results on the evaluation set:
* Loss: 2.9297
* Bleu: 0.0419
* Precisions: [0.16646886171883812, 0.051341379400381214, 0.025538496667355304, 0.01408... | [
"### 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: 20",
"### Train... | [
"TAGS\n#transformers #safetensors #t5 #text2text-generation #generated_from_trainer #dataset-code_search_net #base_model-t5-base #license-apache-2.0 #model-index #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
"### Training hyperparameters\n\n\nThe following hyperparameters ... | [
72,
101,
5,
44
] | [
"TAGS\n#transformers #safetensors #t5 #text2text-generation #generated_from_trainer #dataset-code_search_net #base_model-t5-base #license-apache-2.0 #model-index #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n### Training hyperparameters\n\n\nThe following hyperparameters were u... |
sentence-similarity | sentence-transformers |
# tollefj/norbert3-multiloss-embedder
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)
Using this m... | {"language": ["no", "nb", "nn"], "library_name": "sentence-transformers", "tags": ["sentence-transformers", "feature-extraction", "sentence-similarity", "transformers"], "pipeline_tag": "sentence-similarity"} | tollefj/norbert3-multiloss-embedder | null | [
"sentence-transformers",
"safetensors",
"feature-extraction",
"sentence-similarity",
"transformers",
"custom_code",
"no",
"nb",
"nn",
"endpoints_compatible",
"region:us"
] | null | 2024-04-05T14:38:12+00:00 | [] | [
"no",
"nb",
"nn"
] | TAGS
#sentence-transformers #safetensors #feature-extraction #sentence-similarity #transformers #custom_code #no #nb #nn #endpoints_compatible #region-us
|
# tollefj/norbert3-multiloss-embedder
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-transformers insta... | [
"# tollefj/norbert3-multiloss-embedder\n\nThis 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)\n\nUsing this model becomes easy when you have sentence-transfor... | [
"TAGS\n#sentence-transformers #safetensors #feature-extraction #sentence-similarity #transformers #custom_code #no #nb #nn #endpoints_compatible #region-us \n",
"# tollefj/norbert3-multiloss-embedder\n\nThis is a sentence-transformers model: It maps sentences & paragraphs to a 768 dimensional dense vector space a... | [
40,
51,
30,
58,
26,
152,
5,
5
] | [
"TAGS\n#sentence-transformers #safetensors #feature-extraction #sentence-similarity #transformers #custom_code #no #nb #nn #endpoints_compatible #region-us \n# tollefj/norbert3-multiloss-embedder\n\nThis is a sentence-transformers model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can... |
null | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# donut-base-sroie-metrics-combined
This model is a fine-tuned version of [naver-clova-ix/donut-base](https://huggingface.co/naver... | {"license": "mit", "tags": ["generated_from_trainer"], "datasets": ["imagefolder"], "metrics": ["wer"], "base_model": "naver-clova-ix/donut-base", "model-index": [{"name": "donut-base-sroie-metrics-combined", "results": []}]} | davelotito/donut-base-sroie-metrics-combined | null | [
"transformers",
"tensorboard",
"safetensors",
"vision-encoder-decoder",
"generated_from_trainer",
"dataset:imagefolder",
"base_model:naver-clova-ix/donut-base",
"license:mit",
"endpoints_compatible",
"region:us"
] | null | 2024-04-05T14:38:45+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #vision-encoder-decoder #generated_from_trainer #dataset-imagefolder #base_model-naver-clova-ix/donut-base #license-mit #endpoints_compatible #region-us
| donut-base-sroie-metrics-combined
=================================
This model is a fine-tuned version of naver-clova-ix/donut-base on the imagefolder dataset.
It achieves the following results on the evaluation set:
* Loss: 0.2827
* Bleu score: 0.0762
* Precisions: [0.8396396396396396, 0.7886178861788617, 0.743589... | [
"### 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* gradient\\_accumulation\\_steps: 2\n* total\\_train\\_batch\\_size: 8\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e... | [
"TAGS\n#transformers #tensorboard #safetensors #vision-encoder-decoder #generated_from_trainer #dataset-imagefolder #base_model-naver-clova-ix/donut-base #license-mit #endpoints_compatible #region-us \n",
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\... | [
62,
135,
5,
43
] | [
"TAGS\n#transformers #tensorboard #safetensors #vision-encoder-decoder #generated_from_trainer #dataset-imagefolder #base_model-naver-clova-ix/donut-base #license-mit #endpoints_compatible #region-us \n### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate:... |
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. -->
# base_model_base_tokenizer
This model is a fine-tuned version of [t5-base](https://huggingface.co/t5-base) on the code_search_net... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["code_search_net"], "metrics": ["bleu"], "base_model": "t5-base", "model-index": [{"name": "base_model_base_tokenizer", "results": [{"task": {"type": "text2text-generation", "name": "Sequence-to-sequence Language Modeling"}, "dataset": {"name": ... | sc20fg/base_model_base_tokenizer | null | [
"transformers",
"safetensors",
"t5",
"text2text-generation",
"generated_from_trainer",
"dataset:code_search_net",
"base_model:t5-base",
"license:apache-2.0",
"model-index",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-05T14:39:50+00:00 | [] | [] | TAGS
#transformers #safetensors #t5 #text2text-generation #generated_from_trainer #dataset-code_search_net #base_model-t5-base #license-apache-2.0 #model-index #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| base\_model\_base\_tokenizer
============================
This model is a fine-tuned version of t5-base on the code\_search\_net dataset.
It achieves the following results on the evaluation set:
* Loss: 2.1017
* Bleu: 0.0744
* Precisions: [0.37389569483256924, 0.14063645643779682, 0.07580332788787783, 0.04552714885... | [
"### 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: 20",
"### Train... | [
"TAGS\n#transformers #safetensors #t5 #text2text-generation #generated_from_trainer #dataset-code_search_net #base_model-t5-base #license-apache-2.0 #model-index #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
"### Training hyperparameters\n\n\nThe following hyperparameters ... | [
72,
101,
5,
44
] | [
"TAGS\n#transformers #safetensors #t5 #text2text-generation #generated_from_trainer #dataset-code_search_net #base_model-t5-base #license-apache-2.0 #model-index #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n### Training hyperparameters\n\n\nThe following hyperparameters were u... |
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. -->
# en_vi_mt5-base_doc_train
This model is a fine-tuned version of [google/mt5-base](https://huggingface.co/google/mt5-base) on an u... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "google/mt5-base", "model-index": [{"name": "en_vi_mt5-base_doc_train", "results": []}]} | yuufong/en_vi_mt5-base_doc_train | null | [
"transformers",
"safetensors",
"mt5",
"text2text-generation",
"generated_from_trainer",
"base_model:google/mt5-base",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-05T14:39:58+00:00 | [] | [] | TAGS
#transformers #safetensors #mt5 #text2text-generation #generated_from_trainer #base_model-google/mt5-base #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# en_vi_mt5-base_doc_train
This model is a fine-tuned version of google/mt5-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 hyperparamete... | [
"# en_vi_mt5-base_doc_train\n\nThis model is a fine-tuned version of google/mt5-base on an unknown dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information needed",
"## Training procedure",... | [
"TAGS\n#transformers #safetensors #mt5 #text2text-generation #generated_from_trainer #base_model-google/mt5-base #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
"# en_vi_mt5-base_doc_train\n\nThis model is a fine-tuned version of google/mt5-base on an unk... | [
61,
34,
7,
9,
9,
4,
111,
44
] | [
"TAGS\n#transformers #safetensors #mt5 #text2text-generation #generated_from_trainer #base_model-google/mt5-base #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n# en_vi_mt5-base_doc_train\n\nThis model is a fine-tuned version of google/mt5-base on an unknown d... |
text-generation | transformers | https://huggingface.co/HuggingFaceM4/tiny-random-LlamaForCausalLM
```python
from sparseml.transformers import SparseAutoModelForCausalLM, SparseAutoTokenizer, oneshot
from sparseml.modifiers import SparseGPTModifier
model_id = "HuggingFaceM4/tiny-random-LlamaForCausalLM"
compressed_model_id = "mgoin/tiny-random-Llama... | {} | mgoin/tiny-random-LlamaForCausalLM-pruned95-compressed | null | [
"transformers",
"safetensors",
"llama",
"text-generation",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-05T14:41:30+00:00 | [] | [] | TAGS
#transformers #safetensors #llama #text-generation #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| URL
| [] | [
"TAGS\n#transformers #safetensors #llama #text-generation #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n"
] | [
34
] | [
"TAGS\n#transformers #safetensors #llama #text-generation #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n"
] |
reinforcement-learning | null |
# **Q-Learning** Agent playing1 **Taxi-v3**
This is a trained model of a **Q-Learning** agent playing **Taxi-v3** .
## Usage
```python
model = load_from_hub(repo_id="erfan1380/taxi-v3", filename="q-learning.pkl")
# Don't forget to check if you need to add additional attributes (is_slippery=False etc)
... | {"tags": ["Taxi-v3", "q-learning", "reinforcement-learning", "custom-implementation"], "model-index": [{"name": "taxi-v3", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "Taxi-v3", "type": "Taxi-v3"}, "metrics": [{"type": "mean_reward", "value": "7.52 +/- ... | erfan1380/taxi-v3 | null | [
"Taxi-v3",
"q-learning",
"reinforcement-learning",
"custom-implementation",
"model-index",
"region:us"
] | null | 2024-04-05T14:41:59+00:00 | [] | [] | TAGS
#Taxi-v3 #q-learning #reinforcement-learning #custom-implementation #model-index #region-us
|
# Q-Learning Agent playing1 Taxi-v3
This is a trained model of a Q-Learning agent playing Taxi-v3 .
## Usage
| [
"# Q-Learning Agent playing1 Taxi-v3\n This is a trained model of a Q-Learning agent playing Taxi-v3 .\n\n ## Usage"
] | [
"TAGS\n#Taxi-v3 #q-learning #reinforcement-learning #custom-implementation #model-index #region-us \n",
"# Q-Learning Agent playing1 Taxi-v3\n This is a trained model of a Q-Learning agent playing Taxi-v3 .\n\n ## Usage"
] | [
26,
31
] | [
"TAGS\n#Taxi-v3 #q-learning #reinforcement-learning #custom-implementation #model-index #region-us \n# Q-Learning Agent playing1 Taxi-v3\n This is a trained model of a Q-Learning agent playing Taxi-v3 .\n\n ## Usage"
] |
null | 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": "openai/whisper-base"} | ygaci/whisper-base-fr_common_voice_16_1 | null | [
"peft",
"tensorboard",
"safetensors",
"whisper",
"arxiv:1910.09700",
"base_model:openai/whisper-base",
"region:us"
] | null | 2024-04-05T14:43:48+00:00 | [
"1910.09700"
] | [] | TAGS
#peft #tensorboard #safetensors #whisper #arxiv-1910.09700 #base_model-openai/whisper-base #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License:
- Finetuned from model [optional]:
### Model Sources [optional]
- Repository:
- Paper [optional]:
- Demo [optional]:
#... | [
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\n\n\n- Developed by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Model type: \n- Language(s) (NLP): \n- License: \n- Finetuned from model [optional]:",
"### Model Sources [optional]\n\n\n\n- Repository: \n- Paper [option... | [
"TAGS\n#peft #tensorboard #safetensors #whisper #arxiv-1910.09700 #base_model-openai/whisper-base #region-us \n",
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\n\n\n- Developed by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Model type: \n- Language(s) (NLP): \n- Li... | [
38,
6,
4,
50,
23,
3,
5,
8,
9,
8,
34,
20,
4,
5,
5,
11,
13,
12,
3,
10,
6,
5,
6,
4,
5,
7,
49,
7,
7,
5,
5,
15,
7,
7,
8,
5,
13
] | [
"TAGS\n#peft #tensorboard #safetensors #whisper #arxiv-1910.09700 #base_model-openai/whisper-base #region-us \n# Model Card for Model ID## Model Details### Model Description\n\n\n\n\n\n- Developed by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Model type: \n- Language(s) (NLP): \n- License: \n- Finetun... |
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": []} | Orneyfish/Ontology-0.1-Mistral-7B | null | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-05T14:45:40+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #mistral #text-generation #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Developed by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Model type: \n- Language(s)... | [
"TAGS\n#transformers #safetensors #mistral #text-generation #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been push... | [
44,
6,
4,
75,
23,
3,
5,
8,
9,
8,
34,
20,
4,
5,
5,
11,
13,
12,
3,
10,
6,
5,
6,
4,
5,
7,
49,
7,
7,
5,
5,
15,
7,
7,
8,
5
] | [
"TAGS\n#transformers #safetensors #mistral #text-generation #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n# Model Card for Model ID## Model Details### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. Thi... |
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": []} | SeungHeeKim/exp003_mistralai_Mistral-7B-Instruct-v0_2_LoRA_1epoch | null | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"conversational",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-05T14:47:37+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #mistral #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Developed by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Model type: \n- Language(s)... | [
"TAGS\n#transformers #safetensors #mistral #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model th... | [
47,
6,
4,
75,
23,
3,
5,
8,
9,
8,
34,
20,
4,
5,
5,
11,
13,
12,
3,
10,
6,
5,
6,
4,
5,
7,
49,
7,
7,
5,
5,
15,
7,
7,
8,
5
] | [
"TAGS\n#transformers #safetensors #mistral #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n# Model Card for Model ID## Model Details### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed... |
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": []} | Laskari-Naveen/ADA_005 | null | [
"transformers",
"safetensors",
"vision-encoder-decoder",
"arxiv:1910.09700",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2024-04-05T14:48:11+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #vision-encoder-decoder #arxiv-1910.09700 #endpoints_compatible #has_space #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Developed by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Model type: \n- Language(s)... | [
"TAGS\n#transformers #safetensors #vision-encoder-decoder #arxiv-1910.09700 #endpoints_compatible #has_space #region-us \n",
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been ... | [
39,
6,
4,
75,
23,
3,
5,
8,
9,
8,
34,
20,
4,
5,
5,
11,
13,
12,
3,
10,
6,
5,
6,
4,
5,
7,
49,
7,
7,
5,
5,
15,
7,
7,
8,
5
] | [
"TAGS\n#transformers #safetensors #vision-encoder-decoder #arxiv-1910.09700 #endpoints_compatible #has_space #region-us \n# Model Card for Model ID## Model Details### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically gene... |
null | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# timesformer-base-finetuned-k400-finetuned-kinetic400-subset-epoch6-num_frame_10_myViT
This model is a fine-tuned version of [fac... | {"license": "cc-by-nc-4.0", "tags": ["generated_from_trainer"], "base_model": "facebook/timesformer-base-finetuned-k400", "model-index": [{"name": "timesformer-base-finetuned-k400-finetuned-kinetic400-subset-epoch6-num_frame_10_myViT", "results": []}]} | JackWong0911/timesformer-base-finetuned-k400-finetuned-kinetic400-subset-epoch6-num_frame_10_myViT | null | [
"transformers",
"tensorboard",
"safetensors",
"timesformer",
"generated_from_trainer",
"base_model:facebook/timesformer-base-finetuned-k400",
"license:cc-by-nc-4.0",
"endpoints_compatible",
"region:us"
] | null | 2024-04-05T14:49:14+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #timesformer #generated_from_trainer #base_model-facebook/timesformer-base-finetuned-k400 #license-cc-by-nc-4.0 #endpoints_compatible #region-us
|
# timesformer-base-finetuned-k400-finetuned-kinetic400-subset-epoch6-num_frame_10_myViT
This model is a fine-tuned version of facebook/timesformer-base-finetuned-k400 on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evalu... | [
"# timesformer-base-finetuned-k400-finetuned-kinetic400-subset-epoch6-num_frame_10_myViT\n\nThis model is a fine-tuned version of facebook/timesformer-base-finetuned-k400 on an unknown dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"#... | [
"TAGS\n#transformers #tensorboard #safetensors #timesformer #generated_from_trainer #base_model-facebook/timesformer-base-finetuned-k400 #license-cc-by-nc-4.0 #endpoints_compatible #region-us \n",
"# timesformer-base-finetuned-k400-finetuned-kinetic400-subset-epoch6-num_frame_10_myViT\n\nThis model is a fine-tune... | [
60,
65,
7,
9,
9,
4,
106,
44
] | [
"TAGS\n#transformers #tensorboard #safetensors #timesformer #generated_from_trainer #base_model-facebook/timesformer-base-finetuned-k400 #license-cc-by-nc-4.0 #endpoints_compatible #region-us \n# timesformer-base-finetuned-k400-finetuned-kinetic400-subset-epoch6-num_frame_10_myViT\n\nThis model is a fine-tuned vers... |
sentence-similarity | sentence-transformers |
# IconicAI/all-mpnet-base-v2-janet
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)
Using this mode... | {"library_name": "sentence-transformers", "tags": ["sentence-transformers", "feature-extraction", "sentence-similarity"], "pipeline_tag": "sentence-similarity"} | IconicAI/all-mpnet-base-v2-janet | null | [
"sentence-transformers",
"safetensors",
"mpnet",
"feature-extraction",
"sentence-similarity",
"endpoints_compatible",
"region:us"
] | null | 2024-04-05T14:49:47+00:00 | [] | [] | TAGS
#sentence-transformers #safetensors #mpnet #feature-extraction #sentence-similarity #endpoints_compatible #region-us
|
# IconicAI/all-mpnet-base-v2-janet
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-transformers installe... | [
"# IconicAI/all-mpnet-base-v2-janet\n\nThis 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)\n\nUsing this model becomes easy when you have sentence-transformer... | [
"TAGS\n#sentence-transformers #safetensors #mpnet #feature-extraction #sentence-similarity #endpoints_compatible #region-us \n",
"# IconicAI/all-mpnet-base-v2-janet\n\nThis is a sentence-transformers model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like clust... | [
29,
50,
30,
26,
70,
5,
5
] | [
"TAGS\n#sentence-transformers #safetensors #mpnet #feature-extraction #sentence-similarity #endpoints_compatible #region-us \n# IconicAI/all-mpnet-base-v2-janet\n\nThis is a sentence-transformers model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like clustering ... |
text-generation | transformers |
## Exllama v2 Quantizations of medalpaca-7b
Using <a href="https://github.com/turboderp/exllamav2/releases/tag/v0.0.17">turboderp's ExLlamaV2 v0.0.17</a> for quantization.
<b>The "main" branch only contains the measurement.json, download one of the other branches for the model (see below)</b>
Each branch contains a... | {"language": ["en"], "license": "cc", "library_name": "transformers", "tags": ["medical"], "pipeline_tag": "text-generation", "quantized_by": "bartowski"} | bartowski/medalpaca-7b-exl2 | null | [
"transformers",
"medical",
"text-generation",
"en",
"license:cc",
"endpoints_compatible",
"region:us"
] | null | 2024-04-05T14:50:56+00:00 | [] | [
"en"
] | TAGS
#transformers #medical #text-generation #en #license-cc #endpoints_compatible #region-us
| Exllama v2 Quantizations of medalpaca-7b
----------------------------------------
Using <a href="URL ExLlamaV2 v0.0.17 for quantization.
**The "main" branch only contains the URL, download one of the other branches for the model (see below)**
Each branch contains an individual bits per weight, with the main one c... | [] | [
"TAGS\n#transformers #medical #text-generation #en #license-cc #endpoints_compatible #region-us \n"
] | [
24
] | [
"TAGS\n#transformers #medical #text-generation #en #license-cc #endpoints_compatible #region-us \n"
] |
image-classification | keras |
# Model Name
panda_cat_dog_classification
### Model Description
This model classifies animals among pandas, cats and dogs. It was trained using custom CNN model.
- **Developed by:** Neelima Monjusha Preeti
- **Model type:** custom CNN model
- **Language(s):** Python
- **License:** MIT
- **Contact:** monjusha.2017... | {"language": ["en"], "license": "mit", "library_name": "keras", "metrics": ["accuracy"], "pipeline_tag": "image-classification"} | neelimapreeti297/classification | null | [
"keras",
"image-classification",
"en",
"license:mit",
"region:us"
] | null | 2024-04-05T14:51:40+00:00 | [] | [
"en"
] | TAGS
#keras #image-classification #en #license-mit #region-us
|
# Model Name
panda_cat_dog_classification
### Model Description
This model classifies animals among pandas, cats and dogs. It was trained using custom CNN model.
- Developed by: Neelima Monjusha Preeti
- Model type: custom CNN model
- Language(s): Python
- License: MIT
- Contact: monjusha.2017@URL
### Task Descr... | [
"# Model Name\n\npanda_cat_dog_classification",
"### Model Description\nThis model classifies animals among pandas, cats and dogs. It was trained using custom CNN model. \n\n\n- Developed by: Neelima Monjusha Preeti\n- Model type: custom CNN model\n- Language(s): Python\n- License: MIT\n- Contact: monjusha.2017@U... | [
"TAGS\n#keras #image-classification #en #license-mit #region-us \n",
"# Model Name\n\npanda_cat_dog_classification",
"### Model Description\nThis model classifies animals among pandas, cats and dogs. It was trained using custom CNN model. \n\n\n- Developed by: Neelima Monjusha Preeti\n- Model type: custom CNN m... | [
18,
10,
67,
116,
122,
83,
36,
27,
26,
78,
70,
5,
6,
13,
27
] | [
"TAGS\n#keras #image-classification #en #license-mit #region-us \n# Model Name\n\npanda_cat_dog_classification### Model Description\nThis model classifies animals among pandas, cats and dogs. It was trained using custom CNN model. \n\n\n- Developed by: Neelima Monjusha Preeti\n- Model type: custom CNN model\n- Lang... |
sentence-similarity | sentence-transformers |
# LanguageASP/distilroberta-langASP-trained
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)
Using ... | {"library_name": "sentence-transformers", "tags": ["sentence-transformers", "feature-extraction", "sentence-similarity"], "pipeline_tag": "sentence-similarity"} | LanguageASP/distilroberta-langASP-trained | null | [
"sentence-transformers",
"safetensors",
"roberta",
"feature-extraction",
"sentence-similarity",
"endpoints_compatible",
"region:us"
] | null | 2024-04-05T14:52:57+00:00 | [] | [] | TAGS
#sentence-transformers #safetensors #roberta #feature-extraction #sentence-similarity #endpoints_compatible #region-us
|
# LanguageASP/distilroberta-langASP-trained
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-transformers... | [
"# LanguageASP/distilroberta-langASP-trained\n\nThis 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)\n\nUsing this model becomes easy when you have sentence-tr... | [
"TAGS\n#sentence-transformers #safetensors #roberta #feature-extraction #sentence-similarity #endpoints_compatible #region-us \n",
"# LanguageASP/distilroberta-langASP-trained\n\nThis is a sentence-transformers model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks... | [
28,
51,
30,
26,
63,
5,
5
] | [
"TAGS\n#sentence-transformers #safetensors #roberta #feature-extraction #sentence-similarity #endpoints_compatible #region-us \n# LanguageASP/distilroberta-langASP-trained\n\nThis is a sentence-transformers model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like ... |
null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
weighted/imatrix quants of https://huggingface.co/WizardLM/WizardLM-70B-V1.0
<!-- provided-files -->
static quants are available at https://huggingface.co/mradermacher/WizardLM-70B-V... | {"language": ["en"], "license": "llama2", "library_name": "transformers", "base_model": "WizardLM/WizardLM-70B-V1.0", "quantized_by": "mradermacher"} | mradermacher/WizardLM-70B-V1.0-i1-GGUF | null | [
"transformers",
"gguf",
"en",
"base_model:WizardLM/WizardLM-70B-V1.0",
"license:llama2",
"endpoints_compatible",
"region:us"
] | null | 2024-04-05T14:54:02+00:00 | [] | [
"en"
] | TAGS
#transformers #gguf #en #base_model-WizardLM/WizardLM-70B-V1.0 #license-llama2 #endpoints_compatible #region-us
| About
-----
weighted/imatrix quants of URL
static quants are available at URL
Usage
-----
If you are unsure how to use GGUF files, refer to one of TheBloke's
READMEs for
more details, including on how to concatenate multi-part files.
Provided Quants
---------------
(sorted by size, not necessarily quality. ... | [] | [
"TAGS\n#transformers #gguf #en #base_model-WizardLM/WizardLM-70B-V1.0 #license-llama2 #endpoints_compatible #region-us \n"
] | [
42
] | [
"TAGS\n#transformers #gguf #en #base_model-WizardLM/WizardLM-70B-V1.0 #license-llama2 #endpoints_compatible #region-us \n"
] |
null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | mehran98/imdb-truncated-extra | null | [
"transformers",
"safetensors",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-04-05T14:55:20+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Developed by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Model type: \n- Language(s)... | [
"TAGS\n#transformers #safetensors #arxiv-1910.09700 #endpoints_compatible #region-us \n",
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Devel... | [
26,
6,
4,
75,
23,
3,
5,
8,
9,
8,
34,
20,
4,
5,
5,
11,
13,
12,
3,
10,
6,
5,
6,
4,
5,
7,
49,
7,
7,
5,
5,
15,
7,
7,
8,
5
] | [
"TAGS\n#transformers #safetensors #arxiv-1910.09700 #endpoints_compatible #region-us \n# Model Card for Model ID## Model Details### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Developed by: \n- Funde... |
text-generation | transformers |
# 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": []} | weqweasdas/ratio_09_c12_model1_lr_2e6_2epoch | null | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"conversational",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-05T14:55:31+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #mistral #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Developed by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Model type: \n- Language(s)... | [
"TAGS\n#transformers #safetensors #mistral #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model th... | [
47,
6,
4,
75,
23,
3,
5,
8,
9,
8,
34,
20,
4,
5,
5,
11,
13,
12,
3,
10,
6,
5,
6,
4,
5,
7,
49,
7,
7,
5,
5,
15,
7,
7,
8,
5
] | [
"TAGS\n#transformers #safetensors #mistral #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n# Model Card for Model ID## Model Details### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed... |
text-generation | transformers |
# flammen15X-mistral-7B
A Mistral 7B LLM built from merging pretrained models and finetuning on [Jon Durbin](https://huggingface.co/jondurbin)'s [Gutenberg DPO set](https://huggingface.co/datasets/jondurbin/gutenberg-dp... | {"license": "apache-2.0", "library_name": "transformers", "datasets": ["chargoddard/chai-dpo"], "base_model": ["nbeerbower/flammen15-gutenberg-DPO-v1-7B"]} | flammenai/flammen15X-mistral-7B | null | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"dataset:chargoddard/chai-dpo",
"base_model:nbeerbower/flammen15-gutenberg-DPO-v1-7B",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-05T14:56:18+00:00 | [] | [] | TAGS
#transformers #safetensors #mistral #text-generation #dataset-chargoddard/chai-dpo #base_model-nbeerbower/flammen15-gutenberg-DPO-v1-7B #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
!image/png
# flammen15X-mistral-7B
A Mistral 7B LLM built from merging pretrained models and finetuning on Jon Durbin's Gutenberg DPO set and Charles Goddard's Chai DPO set.
Flammen specializes in exceptional character roleplay, creative writing, and general intelligence
### Method
Finetuned using an A100 on Goog... | [
"# flammen15X-mistral-7B\n\nA Mistral 7B LLM built from merging pretrained models and finetuning on Jon Durbin's Gutenberg DPO set and Charles Goddard's Chai DPO set. \nFlammen specializes in exceptional character roleplay, creative writing, and general intelligence",
"### Method\n\nFinetuned using an A100 on Goo... | [
"TAGS\n#transformers #safetensors #mistral #text-generation #dataset-chargoddard/chai-dpo #base_model-nbeerbower/flammen15-gutenberg-DPO-v1-7B #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
"# flammen15X-mistral-7B\n\nA Mistral 7B LLM built from merging ... | [
82,
68,
35,
13
] | [
"TAGS\n#transformers #safetensors #mistral #text-generation #dataset-chargoddard/chai-dpo #base_model-nbeerbower/flammen15-gutenberg-DPO-v1-7B #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n# flammen15X-mistral-7B\n\nA Mistral 7B LLM built from merging pretra... |
reinforcement-learning | stable-baselines3 |
Today I landed my Lunar Lander on the moon using reinforcement learning 🌙
Reinforcement Learning is a computational approach of learning from actions.
Instead of manually controlling the inputs and directions of the thrusters, I used a Proximal Policy Optimization agent that is a mix of value-based RL and policy-b... | {"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... | AGI-CEO/ppo-LunarLander-v2 | null | [
"stable-baselines3",
"LunarLander-v2",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | null | 2024-04-05T14:59:23+00:00 | [] | [] | TAGS
#stable-baselines3 #LunarLander-v2 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
Today I landed my Lunar Lander on the moon using reinforcement learning
Reinforcement Learning is a computational approach of learning from actions.
Instead of manually controlling the inputs and directions of the thrusters, I used a Proximal Policy Optimization agent that is a mix of value-based RL and policy-bas... | [
"# PPO Agent playing LunarLander-v2\nThis is a trained model of a PPO agent playing LunarLander-v2\nusing the stable-baselines3 library.",
"## Usage (with Stable-baselines3)\nTODO: Add your code"
] | [
"TAGS\n#stable-baselines3 #LunarLander-v2 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us \n",
"# PPO Agent playing LunarLander-v2\nThis is a trained model of a PPO agent playing LunarLander-v2\nusing the stable-baselines3 library.",
"## Usage (with Stable-baselines3)\nTODO: Add you... | [
31,
35,
17
] | [
"TAGS\n#stable-baselines3 #LunarLander-v2 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us \n# PPO Agent playing LunarLander-v2\nThis is a trained model of a PPO agent playing LunarLander-v2\nusing the stable-baselines3 library.## Usage (with Stable-baselines3)\nTODO: Add your code"
] |
text-generation | transformers |
# 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": []} | ntvcie/gemma_Vinh_test_06 | null | [
"transformers",
"safetensors",
"gemma",
"text-generation",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-05T14:59:58+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #gemma #text-generation #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Developed by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Model type: \n- Language(s)... | [
"TAGS\n#transformers #safetensors #gemma #text-generation #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed... | [
43,
6,
4,
75,
23,
3,
5,
8,
9,
8,
34,
20,
4,
5,
5,
11,
13,
12,
3,
10,
6,
5,
6,
4,
5,
7,
49,
7,
7,
5,
5,
15,
7,
7,
8,
5
] | [
"TAGS\n#transformers #safetensors #gemma #text-generation #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n# Model Card for Model ID## Model Details### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This ... |
null | 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": []} | dmcooller/neural-matia-phi-ft | null | [
"transformers",
"safetensors",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-04-05T15:02:06+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Developed by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Model type: \n- Language(s)... | [
"TAGS\n#transformers #safetensors #arxiv-1910.09700 #endpoints_compatible #region-us \n",
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Devel... | [
26,
6,
4,
75,
23,
3,
5,
8,
9,
8,
34,
20,
4,
5,
5,
11,
13,
12,
3,
10,
6,
5,
6,
4,
5,
7,
49,
7,
7,
5,
5,
15,
7,
7,
8,
5
] | [
"TAGS\n#transformers #safetensors #arxiv-1910.09700 #endpoints_compatible #region-us \n# Model Card for Model ID## Model Details### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Developed by: \n- Funde... |
text-classification | bertopic |
# bertopic-20-newsgroups
This is a [BERTopic](https://github.com/MaartenGr/BERTopic) model.
BERTopic is a flexible and modular topic modeling framework that allows for the generation of easily interpretable topics from large datasets.
## Usage
To use this model, please install BERTopic:
```
pip install -U berto... | {"library_name": "bertopic", "tags": ["bertopic"], "pipeline_tag": "text-classification"} | ctam8736/bertopic-20-newsgroups | null | [
"bertopic",
"text-classification",
"region:us"
] | null | 2024-04-05T15:02:17+00:00 | [] | [] | TAGS
#bertopic #text-classification #region-us
| bertopic-20-newsgroups
======================
This is a BERTopic model.
BERTopic is a flexible and modular topic modeling framework that allows for the generation of easily interpretable topics from large datasets.
Usage
-----
To use this model, please install BERTopic:
You can use the model as follows:
Topic... | [] | [
"TAGS\n#bertopic #text-classification #region-us \n"
] | [
13
] | [
"TAGS\n#bertopic #text-classification #region-us \n"
] |
feature-extraction | transformers | This model is designed for the Leo language and is based on `microsoft/codebert-base`.
With the code data written in the Leo language crawled from GitHub, the model is trained using self-supervised learning with triplet loss.
Anchor and positive code chunks are from the same code, while negatives are not. | {} | deliciouscat/leobert | null | [
"transformers",
"safetensors",
"roberta",
"feature-extraction",
"endpoints_compatible",
"region:us"
] | null | 2024-04-05T15:06:50+00:00 | [] | [] | TAGS
#transformers #safetensors #roberta #feature-extraction #endpoints_compatible #region-us
| This model is designed for the Leo language and is based on 'microsoft/codebert-base'.
With the code data written in the Leo language crawled from GitHub, the model is trained using self-supervised learning with triplet loss.
Anchor and positive code chunks are from the same code, while negatives are not. | [] | [
"TAGS\n#transformers #safetensors #roberta #feature-extraction #endpoints_compatible #region-us \n"
] | [
22
] | [
"TAGS\n#transformers #safetensors #roberta #feature-extraction #endpoints_compatible #region-us \n"
] |
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": "cognitivecomputations/samantha-1.2-mistral-7b"} | Erik/adapter-super_greta_plan_saludable-8bit-mistral-7b-conversacion-es | null | [
"peft",
"safetensors",
"arxiv:1910.09700",
"base_model:cognitivecomputations/samantha-1.2-mistral-7b",
"region:us"
] | null | 2024-04-05T15:08:32+00:00 | [
"1910.09700"
] | [] | TAGS
#peft #safetensors #arxiv-1910.09700 #base_model-cognitivecomputations/samantha-1.2-mistral-7b #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License:
- Finetuned from model [optional]:
### Model Sources [optional]
- Repository:
- Paper [optional]:
- Demo [optional]:
#... | [
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\n\n\n- Developed by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Model type: \n- Language(s) (NLP): \n- License: \n- Finetuned from model [optional]:",
"### Model Sources [optional]\n\n\n\n- Repository: \n- Paper [option... | [
"TAGS\n#peft #safetensors #arxiv-1910.09700 #base_model-cognitivecomputations/samantha-1.2-mistral-7b #region-us \n",
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\n\n\n- Developed by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Model type: \n- Language(s) (NLP): \n... | [
43,
6,
4,
50,
23,
3,
5,
8,
9,
8,
34,
20,
4,
5,
5,
11,
13,
12,
3,
10,
6,
5,
6,
4,
5,
7,
49,
7,
7,
5,
5,
15,
7,
7,
8,
5,
16
] | [
"TAGS\n#peft #safetensors #arxiv-1910.09700 #base_model-cognitivecomputations/samantha-1.2-mistral-7b #region-us \n# Model Card for Model ID## Model Details### Model Description\n\n\n\n\n\n- Developed by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Model type: \n- Language(s) (NLP): \n- License: \n- Fin... |
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": []} | Manan28/FinMistral-finetuned | null | [
"transformers",
"safetensors",
"llama",
"text-generation",
"conversational",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-05T15:14:48+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #llama #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Developed by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Model type: \n- Language(s)... | [
"TAGS\n#transformers #safetensors #llama #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that... | [
47,
6,
4,
75,
23,
3,
5,
8,
9,
8,
34,
20,
4,
5,
5,
11,
13,
12,
3,
10,
6,
5,
6,
4,
5,
7,
49,
7,
7,
5,
5,
15,
7,
7,
8,
5
] | [
"TAGS\n#transformers #safetensors #llama #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n# Model Card for Model ID## Model Details### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed o... |
feature-extraction | transformers |
# Conditional ViT - B/16 - Text
*Introduced in **Weakly-Supervised Conditional Embedding for Referred Visual Search**, Lepage et al. 2023*
[`Paper`](https://arxiv.org/abs/2306.02928) | [`Training Data`](https://huggingface.co/datasets/Slep/LAION-RVS-Fashion) | [`Training Code`](https://github.com/Simon-Lepage/CondVi... | {"license": "cc-by-nc-4.0", "tags": ["lrvsf-benchmark"], "model-index": [{"name": "CondViT-B16-txt", "results": [{"task": {"type": "Retrieval"}, "dataset": {"name": "LAION - Referred Visual Search - Fashion", "type": "Slep/LAION-RVS-Fashion", "split": "test"}, "metrics": [{"type": "recall_at_1|10000", "value": "94.18 \... | Slep/CondViT-B16-txt | null | [
"transformers",
"safetensors",
"condvit",
"feature-extraction",
"lrvsf-benchmark",
"custom_code",
"arxiv:2306.02928",
"license:cc-by-nc-4.0",
"model-index",
"region:us"
] | null | 2024-04-05T15:15:20+00:00 | [
"2306.02928"
] | [] | TAGS
#transformers #safetensors #condvit #feature-extraction #lrvsf-benchmark #custom_code #arxiv-2306.02928 #license-cc-by-nc-4.0 #model-index #region-us
|
# Conditional ViT - B/16 - Text
*Introduced in Weakly-Supervised Conditional Embedding for Referred Visual Search, Lepage et al. 2023*
'Paper' | 'Training Data' | 'Training Code' | 'Demo'
## General Infos
Model finetuned from CLIP ViT-B/16 on LRVSF at 224x224. The conditioning text is preprocessed by a frozen Sent... | [
"# Conditional ViT - B/16 - Text\n\n*Introduced in Weakly-Supervised Conditional Embedding for Referred Visual Search, Lepage et al. 2023*\n\n'Paper' | 'Training Data' | 'Training Code' | 'Demo'",
"## General Infos\n\nModel finetuned from CLIP ViT-B/16 on LRVSF at 224x224. The conditioning text is preprocessed by... | [
"TAGS\n#transformers #safetensors #condvit #feature-extraction #lrvsf-benchmark #custom_code #arxiv-2306.02928 #license-cc-by-nc-4.0 #model-index #region-us \n",
"# Conditional ViT - B/16 - Text\n\n*Introduced in Weakly-Supervised Conditional Embedding for Referred Visual Search, Lepage et al. 2023*\n\n'Paper' | ... | [
59,
50,
49,
5
] | [
"TAGS\n#transformers #safetensors #condvit #feature-extraction #lrvsf-benchmark #custom_code #arxiv-2306.02928 #license-cc-by-nc-4.0 #model-index #region-us \n# Conditional ViT - B/16 - Text\n\n*Introduced in Weakly-Supervised Conditional Embedding for Referred Visual Search, Lepage et al. 2023*\n\n'Paper' | 'Train... |
null | fastai |
# Amazing!
🥳 Congratulations on hosting your fastai model on the Hugging Face Hub!
# Some next steps
1. Fill out this model card with more information (see the template below and the [documentation here](https://huggingface.co/docs/hub/model-repos))!
2. Create a demo in Gradio or Streamlit using 🤗 Spaces ([docume... | {"tags": ["fastai"]} | crrodrvi/blindness-image-classification | null | [
"fastai",
"region:us"
] | null | 2024-04-05T15:15:46+00:00 | [] | [] | TAGS
#fastai #region-us
|
# Amazing!
Congratulations on hosting your fastai model on the Hugging Face Hub!
# Some next steps
1. Fill out this model card with more information (see the template below and the documentation here)!
2. Create a demo in Gradio or Streamlit using Spaces (documentation here).
3. Join the fastai community on the ... | [
"# Amazing!\n\n Congratulations on hosting your fastai model on the Hugging Face Hub!",
"# Some next steps\n1. Fill out this model card with more information (see the template below and the documentation here)!\n\n2. Create a demo in Gradio or Streamlit using Spaces (documentation here).\n\n3. Join the fastai co... | [
"TAGS\n#fastai #region-us \n",
"# Amazing!\n\n Congratulations on hosting your fastai model on the Hugging Face Hub!",
"# Some next steps\n1. Fill out this model card with more information (see the template below and the documentation here)!\n\n2. Create a demo in Gradio or Streamlit using Spaces (documentatio... | [
8,
16,
82,
3,
7,
9,
9
] | [
"TAGS\n#fastai #region-us \n# Amazing!\n\n Congratulations on hosting your fastai model on the Hugging Face Hub!# Some next steps\n1. Fill out this model card with more information (see the template below and the documentation here)!\n\n2. Create a demo in Gradio or Streamlit using Spaces (documentation here).\n\n... |
feature-extraction | transformers |
# Conditional ViT - B/16 - Categories
*Introduced in **Weakly-Supervised Conditional Embedding for Referred Visual Search**, Lepage et al. 2023*
[`Paper`](https://arxiv.org/abs/2306.02928) | [`Training Data`](https://huggingface.co/datasets/Slep/LAION-RVS-Fashion) | [`Training Code`](https://github.com/Simon-Lepage/... | {"license": "cc-by-nc-4.0", "tags": ["lrvsf-benchmark"], "model-index": [{"name": "CondViT-B16-cat", "results": [{"task": {"type": "Retrieval"}, "dataset": {"name": "LAION - Referred Visual Search - Fashion", "type": "Slep/LAION-RVS-Fashion", "split": "test"}, "metrics": [{"type": "recall_at_1|10000", "value": "93.44 \... | Slep/CondViT-B16-cat | null | [
"transformers",
"safetensors",
"condvit",
"feature-extraction",
"lrvsf-benchmark",
"custom_code",
"arxiv:2306.02928",
"license:cc-by-nc-4.0",
"model-index",
"region:us"
] | null | 2024-04-05T15:15:46+00:00 | [
"2306.02928"
] | [] | TAGS
#transformers #safetensors #condvit #feature-extraction #lrvsf-benchmark #custom_code #arxiv-2306.02928 #license-cc-by-nc-4.0 #model-index #region-us
|
# Conditional ViT - B/16 - Categories
*Introduced in Weakly-Supervised Conditional Embedding for Referred Visual Search, Lepage et al. 2023*
'Paper' | 'Training Data' | 'Training Code' | 'Demo'
## General Infos
Model finetuned from CLIP ViT-B/16 on LRVSF at 224x224. The conditioning categories are the following : ... | [
"# Conditional ViT - B/16 - Categories\n\n*Introduced in Weakly-Supervised Conditional Embedding for Referred Visual Search, Lepage et al. 2023*\n\n'Paper' | 'Training Data' | 'Training Code' | 'Demo'",
"## General Infos\n\nModel finetuned from CLIP ViT-B/16 on LRVSF at 224x224. The conditioning categories are th... | [
"TAGS\n#transformers #safetensors #condvit #feature-extraction #lrvsf-benchmark #custom_code #arxiv-2306.02928 #license-cc-by-nc-4.0 #model-index #region-us \n",
"# Conditional ViT - B/16 - Categories\n\n*Introduced in Weakly-Supervised Conditional Embedding for Referred Visual Search, Lepage et al. 2023*\n\n'Pap... | [
59,
50,
63,
5
] | [
"TAGS\n#transformers #safetensors #condvit #feature-extraction #lrvsf-benchmark #custom_code #arxiv-2306.02928 #license-cc-by-nc-4.0 #model-index #region-us \n# Conditional ViT - B/16 - Categories\n\n*Introduced in Weakly-Supervised Conditional Embedding for Referred Visual Search, Lepage et al. 2023*\n\n'Paper' | ... |
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": []} | JFernandoGRE/falcon7binstruct_augmenteddemocracy_dups_all4_75 | null | [
"transformers",
"safetensors",
"falcon",
"text-generation",
"custom_code",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-05T15:17:11+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #falcon #text-generation #custom_code #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Developed by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Model type: \n- Language(s)... | [
"TAGS\n#transformers #safetensors #falcon #text-generation #custom_code #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that h... | [
47,
6,
4,
75,
23,
3,
5,
8,
9,
8,
34,
20,
4,
5,
5,
11,
13,
12,
3,
10,
6,
5,
6,
4,
5,
7,
49,
7,
7,
5,
5,
15,
7,
7,
8,
5
] | [
"TAGS\n#transformers #safetensors #falcon #text-generation #custom_code #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n# Model Card for Model ID## Model Details### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on ... |
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... | {"license": "other", "library_name": "transformers", "tags": [], "license_name": "tongyi-qianwen-research", "license_link": "https://huggingface.co/Qwen/Qwen1.5-0.5B-Chat/blob/main/LICENSE"} | nathanrchn/Qwen1.5-0.4B-Chat | null | [
"transformers",
"safetensors",
"qwen2",
"text-generation",
"conversational",
"arxiv:1910.09700",
"license:other",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-05T15:18:14+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #qwen2 #text-generation #conversational #arxiv-1910.09700 #license-other #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Developed by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Model type: \n- Language(s)... | [
"TAGS\n#transformers #safetensors #qwen2 #text-generation #conversational #arxiv-1910.09700 #license-other #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transfor... | [
52,
6,
4,
75,
23,
3,
5,
8,
9,
8,
34,
20,
4,
5,
5,
11,
13,
12,
3,
10,
6,
5,
6,
4,
5,
7,
49,
7,
7,
5,
5,
15,
7,
7,
8,
5
] | [
"TAGS\n#transformers #safetensors #qwen2 #text-generation #conversational #arxiv-1910.09700 #license-other #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n# Model Card for Model ID## Model Details### Model Description\n\n\n\nThis is the model card of a transformers model that ha... |
question-answering | transformers | epoch 6
step 1650 | {} | ZongqianLi/bert-base-cased-squad | null | [
"transformers",
"pytorch",
"bert",
"question-answering",
"endpoints_compatible",
"region:us"
] | null | 2024-04-05T15:19:02+00:00 | [] | [] | TAGS
#transformers #pytorch #bert #question-answering #endpoints_compatible #region-us
| epoch 6
step 1650 | [] | [
"TAGS\n#transformers #pytorch #bert #question-answering #endpoints_compatible #region-us \n"
] | [
23
] | [
"TAGS\n#transformers #pytorch #bert #question-answering #endpoints_compatible #region-us \n"
] |
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. -->
# en_vi_mt5-base_docs_news_train
This model is a fine-tuned version of [google/mt5-base](https://huggingface.co/google/mt5-base) o... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "google/mt5-base", "model-index": [{"name": "en_vi_mt5-base_docs_news_train", "results": []}]} | yuufong/en_vi_mt5-base_docs_news_train | null | [
"transformers",
"safetensors",
"mt5",
"text2text-generation",
"generated_from_trainer",
"base_model:google/mt5-base",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-05T15:19:32+00:00 | [] | [] | TAGS
#transformers #safetensors #mt5 #text2text-generation #generated_from_trainer #base_model-google/mt5-base #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# en_vi_mt5-base_docs_news_train
This model is a fine-tuned version of google/mt5-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 hyperpa... | [
"# en_vi_mt5-base_docs_news_train\n\nThis model is a fine-tuned version of google/mt5-base on an unknown dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information needed",
"## Training proce... | [
"TAGS\n#transformers #safetensors #mt5 #text2text-generation #generated_from_trainer #base_model-google/mt5-base #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
"# en_vi_mt5-base_docs_news_train\n\nThis model is a fine-tuned version of google/mt5-base on ... | [
61,
37,
7,
9,
9,
4,
111,
44
] | [
"TAGS\n#transformers #safetensors #mt5 #text2text-generation #generated_from_trainer #base_model-google/mt5-base #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n# en_vi_mt5-base_docs_news_train\n\nThis model is a fine-tuned version of google/mt5-base on an unk... |
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. -->
# finetuning-sentiment-model-3000-samples
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/d... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy", "f1"], "base_model": "distilbert-base-uncased", "model-index": [{"name": "finetuning-sentiment-model-3000-samples", "results": []}]} | yehyouzeng/finetuning-sentiment-model-3000-samples | null | [
"transformers",
"tensorboard",
"safetensors",
"distilbert",
"text-classification",
"generated_from_trainer",
"base_model:distilbert-base-uncased",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-05T15:19:52+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #distilbert #text-classification #generated_from_trainer #base_model-distilbert-base-uncased #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
|
# finetuning-sentiment-model-3000-samples
This model is a fine-tuned version of distilbert-base-uncased on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3110
- Accuracy: 0.89
- F1: 0.8911
## Model description
More information needed
## Intended uses & limitations
More in... | [
"# finetuning-sentiment-model-3000-samples\n\nThis model is a fine-tuned version of distilbert-base-uncased on an unknown dataset.\nIt achieves the following results on the evaluation set:\n- Loss: 0.3110\n- Accuracy: 0.89\n- F1: 0.8911",
"## Model description\n\nMore information needed",
"## Intended uses & li... | [
"TAGS\n#transformers #tensorboard #safetensors #distilbert #text-classification #generated_from_trainer #base_model-distilbert-base-uncased #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us \n",
"# finetuning-sentiment-model-3000-samples\n\nThis model is a fine-tuned version of distilbert... | [
59,
66,
7,
9,
9,
4,
93,
5,
44
] | [
"TAGS\n#transformers #tensorboard #safetensors #distilbert #text-classification #generated_from_trainer #base_model-distilbert-base-uncased #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us \n# finetuning-sentiment-model-3000-samples\n\nThis model is a fine-tuned version of distilbert-base-... |
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": []} | axel-rda/ARIA-70B-V3-bnb-4bit-nf4-bfloat16-qlora-sft-qlora-sft-ft_num-2-adapters | null | [
"transformers",
"safetensors",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-04-05T15:20:29+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Developed by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Model type: \n- Language(s)... | [
"TAGS\n#transformers #safetensors #arxiv-1910.09700 #endpoints_compatible #region-us \n",
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Devel... | [
26,
6,
4,
75,
23,
3,
5,
8,
9,
8,
34,
20,
4,
5,
5,
11,
13,
12,
3,
10,
6,
5,
6,
4,
5,
7,
49,
7,
7,
5,
5,
15,
7,
7,
8,
5
] | [
"TAGS\n#transformers #safetensors #arxiv-1910.09700 #endpoints_compatible #region-us \n# Model Card for Model ID## Model Details### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Developed by: \n- Funde... |
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": []} | axel-rda/ARIA-70B-V3-bnb-4bit-nf4-bfloat16-qlora-sft-qlora-sft-ft_num-2 | null | [
"transformers",
"safetensors",
"llama",
"text-generation",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"4-bit",
"region:us"
] | null | 2024-04-05T15:24:12+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #llama #text-generation #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #4-bit #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Developed by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Model type: \n- Language(s)... | [
"TAGS\n#transformers #safetensors #llama #text-generation #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #4-bit #region-us \n",
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been... | [
48,
6,
4,
75,
23,
3,
5,
8,
9,
8,
34,
20,
4,
5,
5,
11,
13,
12,
3,
10,
6,
5,
6,
4,
5,
7,
49,
7,
7,
5,
5,
15,
7,
7,
8,
5
] | [
"TAGS\n#transformers #safetensors #llama #text-generation #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #4-bit #region-us \n# Model Card for Model ID## Model Details### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub... |
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": []} | rishitau/pegasus-samsum-model | null | [
"transformers",
"safetensors",
"pegasus",
"text2text-generation",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-05T15:25:38+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #pegasus #text2text-generation #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Developed by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Model type: \n- Language(s)... | [
"TAGS\n#transformers #safetensors #pegasus #text2text-generation #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #region-us \n",
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This mo... | [
39,
6,
4,
75,
23,
3,
5,
8,
9,
8,
34,
20,
4,
5,
5,
11,
13,
12,
3,
10,
6,
5,
6,
4,
5,
7,
49,
7,
7,
5,
5,
15,
7,
7,
8,
5
] | [
"TAGS\n#transformers #safetensors #pegasus #text2text-generation #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #region-us \n# Model Card for Model ID## Model Details### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been ... |
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": []} | pesc101/Mistral-7B-Instruct-v0.2-lbl | null | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"conversational",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-05T15:29:14+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #mistral #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Developed by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Model type: \n- Language(s)... | [
"TAGS\n#transformers #safetensors #mistral #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model th... | [
47,
6,
4,
75,
23,
3,
5,
8,
9,
8,
34,
20,
4,
5,
5,
11,
13,
12,
3,
10,
6,
5,
6,
4,
5,
7,
49,
7,
7,
5,
5,
15,
7,
7,
8,
5
] | [
"TAGS\n#transformers #safetensors #mistral #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n# Model Card for Model ID## Model Details### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed... |
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. -->
# gemma2bft
This model is a fine-tuned version of [google/gemma-2b-it](https://huggingface.co/google/gemma-2b-it) on an unknown da... | {"license": "gemma", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "google/gemma-2b-it", "model-index": [{"name": "gemma2bft", "results": []}]} | Ethan615/gemma2bft | null | [
"peft",
"tensorboard",
"safetensors",
"trl",
"sft",
"generated_from_trainer",
"base_model:google/gemma-2b-it",
"license:gemma",
"region:us"
] | null | 2024-04-05T15:31:11+00:00 | [] | [] | TAGS
#peft #tensorboard #safetensors #trl #sft #generated_from_trainer #base_model-google/gemma-2b-it #license-gemma #region-us
|
# gemma2bft
This model is a fine-tuned version of google/gemma-2b-it on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The foll... | [
"# gemma2bft\n\nThis model is a fine-tuned version of google/gemma-2b-it on an unknown dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information needed",
"## Training procedure",
"### Trai... | [
"TAGS\n#peft #tensorboard #safetensors #trl #sft #generated_from_trainer #base_model-google/gemma-2b-it #license-gemma #region-us \n",
"# gemma2bft\n\nThis model is a fine-tuned version of google/gemma-2b-it on an unknown dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limita... | [
44,
28,
7,
9,
9,
4,
133,
5,
55
] | [
"TAGS\n#peft #tensorboard #safetensors #trl #sft #generated_from_trainer #base_model-google/gemma-2b-it #license-gemma #region-us \n# gemma2bft\n\nThis model is a fine-tuned version of google/gemma-2b-it on an unknown dataset.## Model description\n\nMore information needed## Intended uses & limitations\n\nMore info... |
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. -->
# MentalRoBERTa_EmpAI_final3
This model is a fine-tuned version of [mental/mental-roberta-base](https://huggingface.co/mental/ment... | {"license": "cc-by-nc-4.0", "tags": ["generated_from_trainer"], "base_model": "mental/mental-roberta-base", "model-index": [{"name": "MentalRoBERTa_EmpAI_final3", "results": []}]} | LuangMV97/MentalRoBERTa_EmpAI_final3 | null | [
"transformers",
"tensorboard",
"safetensors",
"roberta",
"fill-mask",
"generated_from_trainer",
"base_model:mental/mental-roberta-base",
"license:cc-by-nc-4.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-05T15:31:38+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #roberta #fill-mask #generated_from_trainer #base_model-mental/mental-roberta-base #license-cc-by-nc-4.0 #autotrain_compatible #endpoints_compatible #region-us
| MentalRoBERTa\_EmpAI\_final3
============================
This model is a fine-tuned version of mental/mental-roberta-base on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0689
Model description
-----------------
More information needed
Intended uses & limitations
----... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0001\n* train\\_batch\\_size: 16\n* eval\\_batch\\_size: 16\n* seed: 42\n* gradient\\_accumulation\\_steps: 8\n* total\\_train\\_batch\\_size: 128\n* optimizer: Adam with betas=(0.9,0.999) and epsil... | [
"TAGS\n#transformers #tensorboard #safetensors #roberta #fill-mask #generated_from_trainer #base_model-mental/mental-roberta-base #license-cc-by-nc-4.0 #autotrain_compatible #endpoints_compatible #region-us \n",
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* lea... | [
60,
150,
5,
44
] | [
"TAGS\n#transformers #tensorboard #safetensors #roberta #fill-mask #generated_from_trainer #base_model-mental/mental-roberta-base #license-cc-by-nc-4.0 #autotrain_compatible #endpoints_compatible #region-us \n### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\... |
null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/moondriller/anarchy-solar-10B-v1
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do not... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "base_model": "moondriller/anarchy-solar-10B-v1", "quantized_by": "mradermacher"} | mradermacher/anarchy-solar-10B-v1-GGUF | null | [
"transformers",
"gguf",
"en",
"base_model:moondriller/anarchy-solar-10B-v1",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2024-04-05T15:34:15+00:00 | [] | [
"en"
] | TAGS
#transformers #gguf #en #base_model-moondriller/anarchy-solar-10B-v1 #license-apache-2.0 #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... | [] | [
"TAGS\n#transformers #gguf #en #base_model-moondriller/anarchy-solar-10B-v1 #license-apache-2.0 #endpoints_compatible #region-us \n"
] | [
45
] | [
"TAGS\n#transformers #gguf #en #base_model-moondriller/anarchy-solar-10B-v1 #license-apache-2.0 #endpoints_compatible #region-us \n"
] |
text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# distilbert-base-uncased-finetuned-emotion
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["emotion"], "metrics": ["accuracy", "f1"], "base_model": "distilbert-base-uncased", "model-index": [{"name": "distilbert-base-uncased-finetuned-emotion", "results": [{"task": {"type": "text-classification", "name": "Text Classification"}, "datas... | KCWONG168/distilbert-base-uncased-finetuned-emotion | null | [
"transformers",
"tensorboard",
"safetensors",
"distilbert",
"text-classification",
"generated_from_trainer",
"dataset:emotion",
"base_model:distilbert-base-uncased",
"license:apache-2.0",
"model-index",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-05T15:40:57+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #distilbert #text-classification #generated_from_trainer #dataset-emotion #base_model-distilbert-base-uncased #license-apache-2.0 #model-index #autotrain_compatible #endpoints_compatible #region-us
| distilbert-base-uncased-finetuned-emotion
=========================================
This model is a fine-tuned version of distilbert-base-uncased on the emotion dataset.
It achieves the following results on the evaluation set:
* Loss: 0.2224
* Accuracy: 0.928
* F1: 0.9279
Model description
-----------------
Mor... | [
"### 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: 64\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 2",
"### Traini... | [
"TAGS\n#transformers #tensorboard #safetensors #distilbert #text-classification #generated_from_trainer #dataset-emotion #base_model-distilbert-base-uncased #license-apache-2.0 #model-index #autotrain_compatible #endpoints_compatible #region-us \n",
"### Training hyperparameters\n\n\nThe following hyperparameters... | [
68,
101,
5,
44
] | [
"TAGS\n#transformers #tensorboard #safetensors #distilbert #text-classification #generated_from_trainer #dataset-emotion #base_model-distilbert-base-uncased #license-apache-2.0 #model-index #autotrain_compatible #endpoints_compatible #region-us \n### Training hyperparameters\n\n\nThe following hyperparameters were ... |
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. -->
# hyperparam-rust-lora-32
This model is a fine-tuned version of [deepseek-ai/deepseek-coder-1.3b-base](https://huggingface.co/deep... | {"license": "other", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "datasets": ["generator"], "base_model": "deepseek-ai/deepseek-coder-1.3b-base", "model-index": [{"name": "hyperparam-rust-lora-32", "results": []}]} | ysr/hyperparam-rust-lora-32 | null | [
"peft",
"safetensors",
"trl",
"sft",
"generated_from_trainer",
"dataset:generator",
"base_model:deepseek-ai/deepseek-coder-1.3b-base",
"license:other",
"region:us"
] | null | 2024-04-05T15:42:15+00:00 | [] | [] | TAGS
#peft #safetensors #trl #sft #generated_from_trainer #dataset-generator #base_model-deepseek-ai/deepseek-coder-1.3b-base #license-other #region-us
| hyperparam-rust-lora-32
=======================
This model is a fine-tuned version of deepseek-ai/deepseek-coder-1.3b-base on the generator dataset.
It achieves the following results on the evaluation set:
* Loss: 0.4306
Model description
-----------------
More information needed
Intended uses & limitations
-... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0003\n* train\\_batch\\_size: 1\n* eval\\_batch\\_size: 1\n* seed: 42\n* gradient\\_accumulation\\_steps: 32\n* total\\_train\\_batch\\_size: 32\n* optimizer: Adam with betas=(0.9,0.999) and epsilon... | [
"TAGS\n#peft #safetensors #trl #sft #generated_from_trainer #dataset-generator #base_model-deepseek-ai/deepseek-coder-1.3b-base #license-other #region-us \n",
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0003\n* train\\_batch\\_size: 1\n* ev... | [
57,
160,
5,
48
] | [
"TAGS\n#peft #safetensors #trl #sft #generated_from_trainer #dataset-generator #base_model-deepseek-ai/deepseek-coder-1.3b-base #license-other #region-us \n### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0003\n* train\\_batch\\_size: 1\n* eval\\_b... |
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... | hardaur/ppo-LunarLander-v2 | null | [
"stable-baselines3",
"LunarLander-v2",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | null | 2024-04-05T15:47:02+00:00 | [] | [] | TAGS
#stable-baselines3 #LunarLander-v2 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
# PPO Agent playing LunarLander-v2
This is a trained model of a PPO agent playing LunarLander-v2
using the stable-baselines3 library.
## Usage (with Stable-baselines3)
TODO: Add your code
| [
"# PPO Agent playing LunarLander-v2\nThis is a trained model of a PPO agent playing LunarLander-v2\nusing the stable-baselines3 library.",
"## Usage (with Stable-baselines3)\nTODO: Add your code"
] | [
"TAGS\n#stable-baselines3 #LunarLander-v2 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us \n",
"# PPO Agent playing LunarLander-v2\nThis is a trained model of a PPO agent playing LunarLander-v2\nusing the stable-baselines3 library.",
"## Usage (with Stable-baselines3)\nTODO: Add you... | [
31,
35,
17
] | [
"TAGS\n#stable-baselines3 #LunarLander-v2 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us \n# PPO Agent playing LunarLander-v2\nThis is a trained model of a PPO agent playing LunarLander-v2\nusing the stable-baselines3 library.## Usage (with Stable-baselines3)\nTODO: Add your code"
] |
text-generation | null | GGUFs for Qwen 1.5 32B - https://huggingface.co/Qwen/Qwen1.5-32B
This is the vanilla **non chat** version of the model.
iMatrix GGUFs generated with Kalomaze's semi-random groups_merged.txt
Files >50gb have been split with peazip. Recombine with peazip, 7zip, or simple concatenate command. | {"language": ["en"], "license": "other", "tags": ["pretrained"], "license_name": "tongyi-qianwen-research", "license_link": "https://huggingface.co/Qwen/Qwen1.5-32B/blob/main/LICENSE", "pipeline_tag": "text-generation"} | MarsupialAI/Qwen1.5-32B_iMatrix_GGUF | null | [
"gguf",
"pretrained",
"text-generation",
"en",
"license:other",
"region:us"
] | null | 2024-04-05T15:47:08+00:00 | [] | [
"en"
] | TAGS
#gguf #pretrained #text-generation #en #license-other #region-us
| GGUFs for Qwen 1.5 32B - URL
This is the vanilla non chat version of the model.
iMatrix GGUFs generated with Kalomaze's semi-random groups_merged.txt
Files >50gb have been split with peazip. Recombine with peazip, 7zip, or simple concatenate command. | [] | [
"TAGS\n#gguf #pretrained #text-generation #en #license-other #region-us \n"
] | [
23
] | [
"TAGS\n#gguf #pretrained #text-generation #en #license-other #region-us \n"
] |
null | transformers |
# Uploaded model
- **Developed by:** katkout2313
- **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... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl"], "base_model": "unsloth/mistral-7b-instruct-v0.2-bnb-4bit"} | katkout2313/lora_model4 | null | [
"transformers",
"safetensors",
"text-generation-inference",
"unsloth",
"mistral",
"trl",
"en",
"base_model:unsloth/mistral-7b-instruct-v0.2-bnb-4bit",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2024-04-05T15:47:22+00:00 | [] | [
"en"
] | TAGS
#transformers #safetensors #text-generation-inference #unsloth #mistral #trl #en #base_model-unsloth/mistral-7b-instruct-v0.2-bnb-4bit #license-apache-2.0 #endpoints_compatible #region-us
|
# Uploaded model
- Developed by: katkout2313
- 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"/>
| [
"# Uploaded model\n\n- Developed by: katkout2313\n- License: apache-2.0\n- Finetuned from model : unsloth/mistral-7b-instruct-v0.2-bnb-4bit\n\nThis mistral model was trained 2x faster with Unsloth and Huggingface's TRL library.\n\n<img src=\"URL width=\"200\"/>"
] | [
"TAGS\n#transformers #safetensors #text-generation-inference #unsloth #mistral #trl #en #base_model-unsloth/mistral-7b-instruct-v0.2-bnb-4bit #license-apache-2.0 #endpoints_compatible #region-us \n",
"# Uploaded model\n\n- Developed by: katkout2313\n- License: apache-2.0\n- Finetuned from model : unsloth/mistral... | [
70,
88
] | [
"TAGS\n#transformers #safetensors #text-generation-inference #unsloth #mistral #trl #en #base_model-unsloth/mistral-7b-instruct-v0.2-bnb-4bit #license-apache-2.0 #endpoints_compatible #region-us \n# Uploaded model\n\n- Developed by: katkout2313\n- License: apache-2.0\n- Finetuned from model : unsloth/mistral-7b-in... |
null | null |
# Qwen1.5-32B-Chat-iMat-GGUF
Source Model: [Qwen/Qwen1.5-32B-Chat](https://huggingface.co/Qwen/Qwen1.5-32B-Chat)
Quantized with [llama.cpp](https://github.com/ggerganov/llama.cpp) commit [46acb3676718b983157058aecf729a2064fc7d34](https://github.com/ggerganov/llama.cpp/commit/46acb3676718b983157058aecf729a2064fc7d34)... | {"language": ["en"], "license": "other", "tags": ["qwen", "chat"], "license_name": "tongyi-qianwen", "license_link": "https://huggingface.co/Qwen/Qwen1.5-32B/blob/main/LICENSE", "base_model": "Qwen/Qwen1.5-32B-Chat", "model-index": [{"name": "Qwen1.5-32B-Chat-iMat-GGUF", "results": []}]} | qwp4w3hyb/Qwen1.5-32B-Chat-iMat-GGUF | null | [
"gguf",
"qwen",
"chat",
"en",
"base_model:Qwen/Qwen1.5-32B-Chat",
"license:other",
"region:us"
] | null | 2024-04-05T15:48:16+00:00 | [] | [
"en"
] | TAGS
#gguf #qwen #chat #en #base_model-Qwen/Qwen1.5-32B-Chat #license-other #region-us
|
# Qwen1.5-32B-Chat-iMat-GGUF
Source Model: Qwen/Qwen1.5-32B-Chat
Quantized with URL commit 46acb3676718b983157058aecf729a2064fc7d34
Imatrix was generated from the f16 gguf via this command:
./imatrix -c 512 -m $out_path/$base_quant_name -f $llama_cpp_path/groups_merged.txt -o $out_path/URL
Using the dataset from ... | [
"# Qwen1.5-32B-Chat-iMat-GGUF\n\nSource Model: Qwen/Qwen1.5-32B-Chat\n\nQuantized with URL commit 46acb3676718b983157058aecf729a2064fc7d34\n\nImatrix was generated from the f16 gguf via this command:\n\n./imatrix -c 512 -m $out_path/$base_quant_name -f $llama_cpp_path/groups_merged.txt -o $out_path/URL\n\nUsing the... | [
"TAGS\n#gguf #qwen #chat #en #base_model-Qwen/Qwen1.5-32B-Chat #license-other #region-us \n",
"# Qwen1.5-32B-Chat-iMat-GGUF\n\nSource Model: Qwen/Qwen1.5-32B-Chat\n\nQuantized with URL commit 46acb3676718b983157058aecf729a2064fc7d34\n\nImatrix was generated from the f16 gguf via this command:\n\n./imatrix -c 512 ... | [
38,
137
] | [
"TAGS\n#gguf #qwen #chat #en #base_model-Qwen/Qwen1.5-32B-Chat #license-other #region-us \n# Qwen1.5-32B-Chat-iMat-GGUF\n\nSource Model: Qwen/Qwen1.5-32B-Chat\n\nQuantized with URL commit 46acb3676718b983157058aecf729a2064fc7d34\n\nImatrix was generated from the f16 gguf via this command:\n\n./imatrix -c 512 -m $ou... |
text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | Grayx/unstable_41 | null | [
"transformers",
"safetensors",
"stablelm",
"text-generation",
"conversational",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-05T15:50:17+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #stablelm #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Developed by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Model type: \n- Language(s)... | [
"TAGS\n#transformers #safetensors #stablelm #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #region-us \n",
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the ... | [
41,
6,
4,
75,
23,
3,
5,
8,
9,
8,
34,
20,
4,
5,
5,
11,
13,
12,
3,
10,
6,
5,
6,
4,
5,
7,
49,
7,
7,
5,
5,
15,
7,
7,
8,
5
] | [
"TAGS\n#transformers #safetensors #stablelm #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #region-us \n# Model Card for Model ID## Model Details### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model ca... |
text-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. -->
# clasificador-muchocine
This model is a fine-tuned version of [mrm8488/electricidad-base-discriminator](https://huggingface.co/mr... | {"tags": ["classification", "generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mrm8488/electricidad-base-discriminator", "model-index": [{"name": "clasificador-muchocine", "results": []}]} | eromanal/clasificador-muchocine | null | [
"transformers",
"tensorboard",
"safetensors",
"electra",
"text-classification",
"classification",
"generated_from_trainer",
"base_model:mrm8488/electricidad-base-discriminator",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-05T16:02:00+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #electra #text-classification #classification #generated_from_trainer #base_model-mrm8488/electricidad-base-discriminator #autotrain_compatible #endpoints_compatible #region-us
| clasificador-muchocine
======================
This model is a fine-tuned version of mrm8488/electricidad-base-discriminator on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 1.4140
* Accuracy: 0.4477
Model description
-----------------
More information needed
Intended uses ... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 8\n* eval\\_batch\\_size: 8\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 3.0",
"### Traini... | [
"TAGS\n#transformers #tensorboard #safetensors #electra #text-classification #classification #generated_from_trainer #base_model-mrm8488/electricidad-base-discriminator #autotrain_compatible #endpoints_compatible #region-us \n",
"### Training hyperparameters\n\n\nThe following hyperparameters were used during tra... | [
58,
103,
5,
44
] | [
"TAGS\n#transformers #tensorboard #safetensors #electra #text-classification #classification #generated_from_trainer #base_model-mrm8488/electricidad-base-discriminator #autotrain_compatible #endpoints_compatible #region-us \n### Training hyperparameters\n\n\nThe following hyperparameters were used during training:... |
sentence-similarity | sentence-transformers |
# all-MiniLM-L12-v2
This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 384 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-transformers]... | {"language": "en", "license": "apache-2.0", "library_name": "sentence-transformers", "tags": ["sentence-transformers", "feature-extraction", "sentence-similarity", "transformers"], "datasets": ["s2orc", "flax-sentence-embeddings/stackexchange_xml", "ms_marco", "gooaq", "yahoo_answers_topics", "code_search_net", "search... | alexjones1925/all-MiniLM-L12-v2-ibotta-gp-walmart-search-clicks-dev | null | [
"sentence-transformers",
"pytorch",
"bert",
"feature-extraction",
"sentence-similarity",
"transformers",
"en",
"dataset:s2orc",
"dataset:flax-sentence-embeddings/stackexchange_xml",
"dataset:ms_marco",
"dataset:gooaq",
"dataset:yahoo_answers_topics",
"dataset:code_search_net",
"dataset:sea... | null | 2024-04-05T16:02:56+00:00 | [
"1904.06472",
"2102.07033",
"2104.08727",
"1704.05179",
"1810.09305"
] | [
"en"
] | TAGS
#sentence-transformers #pytorch #bert #feature-extraction #sentence-similarity #transformers #en #dataset-s2orc #dataset-flax-sentence-embeddings/stackexchange_xml #dataset-ms_marco #dataset-gooaq #dataset-yahoo_answers_topics #dataset-code_search_net #dataset-search_qa #dataset-eli5 #dataset-snli #dataset-multi_n... | all-MiniLM-L12-v2
=================
This is a sentence-transformers model: It maps sentences & paragraphs to a 384 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 se... | [
"### Pre-training\n\n\nWe use the pretrained 'microsoft/MiniLM-L12-H384-uncased' model. Please refer to the model card for more detailed information about the pre-training procedure.",
"### Fine-tuning\n\n\nWe fine-tune the model using a contrastive objective. Formally, we compute the cosine similarity from each ... | [
"TAGS\n#sentence-transformers #pytorch #bert #feature-extraction #sentence-similarity #transformers #en #dataset-s2orc #dataset-flax-sentence-embeddings/stackexchange_xml #dataset-ms_marco #dataset-gooaq #dataset-yahoo_answers_topics #dataset-code_search_net #dataset-search_qa #dataset-eli5 #dataset-snli #dataset-m... | [
314,
47,
49,
100,
64
] | [
"TAGS\n#sentence-transformers #pytorch #bert #feature-extraction #sentence-similarity #transformers #en #dataset-s2orc #dataset-flax-sentence-embeddings/stackexchange_xml #dataset-ms_marco #dataset-gooaq #dataset-yahoo_answers_topics #dataset-code_search_net #dataset-search_qa #dataset-eli5 #dataset-snli #dataset-m... |
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. -->
# scenario-NON-KD-PO-COPY-CDF-EN-D2_data-en-cardiff_eng_only_alpha
This model is a fine-tuned version of [haryoaw/scenario-TCR_dat... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["accuracy", "f1"], "base_model": "haryoaw/scenario-TCR_data-en-cardiff_eng_only2", "model-index": [{"name": "scenario-NON-KD-PO-COPY-CDF-EN-D2_data-en-cardiff_eng_only_alpha", "results": []}]} | haryoaw/scenario-NON-KD-PO-COPY-CDF-EN-D2_data-en-cardiff_eng_only_alpha | null | [
"transformers",
"pytorch",
"xlm-roberta",
"text-classification",
"generated_from_trainer",
"base_model:haryoaw/scenario-TCR_data-en-cardiff_eng_only2",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-05T16:04:33+00:00 | [] | [] | TAGS
#transformers #pytorch #xlm-roberta #text-classification #generated_from_trainer #base_model-haryoaw/scenario-TCR_data-en-cardiff_eng_only2 #license-mit #autotrain_compatible #endpoints_compatible #region-us
| scenario-NON-KD-PO-COPY-CDF-EN-D2\_data-en-cardiff\_eng\_only\_alpha
====================================================================
This model is a fine-tuned version of haryoaw/scenario-TCR\_data-en-cardiff\_eng\_only2 on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 4.24... | [
"### 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: 1123\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 30",
"### Tra... | [
"TAGS\n#transformers #pytorch #xlm-roberta #text-classification #generated_from_trainer #base_model-haryoaw/scenario-TCR_data-en-cardiff_eng_only2 #license-mit #autotrain_compatible #endpoints_compatible #region-us \n",
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\... | [
66,
102,
5,
44
] | [
"TAGS\n#transformers #pytorch #xlm-roberta #text-classification #generated_from_trainer #base_model-haryoaw/scenario-TCR_data-en-cardiff_eng_only2 #license-mit #autotrain_compatible #endpoints_compatible #region-us \n### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* l... |
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. -->
# scenario-NON-KD-PO-COPY-CDF-EN-D2_data-en-cardiff_eng_only_beta
This model is a fine-tuned version of [haryoaw/scenario-TCR_data... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["accuracy", "f1"], "base_model": "haryoaw/scenario-TCR_data-en-cardiff_eng_only2", "model-index": [{"name": "scenario-NON-KD-PO-COPY-CDF-EN-D2_data-en-cardiff_eng_only_beta", "results": []}]} | haryoaw/scenario-NON-KD-PO-COPY-CDF-EN-D2_data-en-cardiff_eng_only_beta | null | [
"transformers",
"pytorch",
"xlm-roberta",
"text-classification",
"generated_from_trainer",
"base_model:haryoaw/scenario-TCR_data-en-cardiff_eng_only2",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-05T16:04:36+00:00 | [] | [] | TAGS
#transformers #pytorch #xlm-roberta #text-classification #generated_from_trainer #base_model-haryoaw/scenario-TCR_data-en-cardiff_eng_only2 #license-mit #autotrain_compatible #endpoints_compatible #region-us
| scenario-NON-KD-PO-COPY-CDF-EN-D2\_data-en-cardiff\_eng\_only\_beta
===================================================================
This model is a fine-tuned version of haryoaw/scenario-TCR\_data-en-cardiff\_eng\_only2 on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 4.5485... | [
"### 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: 112233\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 30",
"### T... | [
"TAGS\n#transformers #pytorch #xlm-roberta #text-classification #generated_from_trainer #base_model-haryoaw/scenario-TCR_data-en-cardiff_eng_only2 #license-mit #autotrain_compatible #endpoints_compatible #region-us \n",
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\... | [
66,
103,
5,
44
] | [
"TAGS\n#transformers #pytorch #xlm-roberta #text-classification #generated_from_trainer #base_model-haryoaw/scenario-TCR_data-en-cardiff_eng_only2 #license-mit #autotrain_compatible #endpoints_compatible #region-us \n### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* l... |
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. -->
# scenario-NON-KD-PO-COPY-CDF-EN-D2_data-en-cardiff_eng_only_gamma
This model is a fine-tuned version of [haryoaw/scenario-TCR_dat... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["accuracy", "f1"], "base_model": "haryoaw/scenario-TCR_data-en-cardiff_eng_only2", "model-index": [{"name": "scenario-NON-KD-PO-COPY-CDF-EN-D2_data-en-cardiff_eng_only_gamma", "results": []}]} | haryoaw/scenario-NON-KD-PO-COPY-CDF-EN-D2_data-en-cardiff_eng_only_gamma | null | [
"transformers",
"pytorch",
"xlm-roberta",
"text-classification",
"generated_from_trainer",
"base_model:haryoaw/scenario-TCR_data-en-cardiff_eng_only2",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-05T16:04:37+00:00 | [] | [] | TAGS
#transformers #pytorch #xlm-roberta #text-classification #generated_from_trainer #base_model-haryoaw/scenario-TCR_data-en-cardiff_eng_only2 #license-mit #autotrain_compatible #endpoints_compatible #region-us
| scenario-NON-KD-PO-COPY-CDF-EN-D2\_data-en-cardiff\_eng\_only\_gamma
====================================================================
This model is a fine-tuned version of haryoaw/scenario-TCR\_data-en-cardiff\_eng\_only2 on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 4.44... | [
"### 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: 11423\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 30",
"### Tr... | [
"TAGS\n#transformers #pytorch #xlm-roberta #text-classification #generated_from_trainer #base_model-haryoaw/scenario-TCR_data-en-cardiff_eng_only2 #license-mit #autotrain_compatible #endpoints_compatible #region-us \n",
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\... | [
66,
102,
5,
44
] | [
"TAGS\n#transformers #pytorch #xlm-roberta #text-classification #generated_from_trainer #base_model-haryoaw/scenario-TCR_data-en-cardiff_eng_only2 #license-mit #autotrain_compatible #endpoints_compatible #region-us \n### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* l... |
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. -->
# scenario-NON-KD-PO-COPY-CDF-EN-D2_data-en-cardiff_eng_only_delta
This model is a fine-tuned version of [haryoaw/scenario-TCR_dat... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["accuracy", "f1"], "base_model": "haryoaw/scenario-TCR_data-en-cardiff_eng_only2", "model-index": [{"name": "scenario-NON-KD-PO-COPY-CDF-EN-D2_data-en-cardiff_eng_only_delta", "results": []}]} | haryoaw/scenario-NON-KD-PO-COPY-CDF-EN-D2_data-en-cardiff_eng_only_delta | null | [
"transformers",
"pytorch",
"xlm-roberta",
"text-classification",
"generated_from_trainer",
"base_model:haryoaw/scenario-TCR_data-en-cardiff_eng_only2",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-05T16:04:37+00:00 | [] | [] | TAGS
#transformers #pytorch #xlm-roberta #text-classification #generated_from_trainer #base_model-haryoaw/scenario-TCR_data-en-cardiff_eng_only2 #license-mit #autotrain_compatible #endpoints_compatible #region-us
| scenario-NON-KD-PO-COPY-CDF-EN-D2\_data-en-cardiff\_eng\_only\_delta
====================================================================
This model is a fine-tuned version of haryoaw/scenario-TCR\_data-en-cardiff\_eng\_only2 on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 4.51... | [
"### 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: 11213\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 30",
"### Tr... | [
"TAGS\n#transformers #pytorch #xlm-roberta #text-classification #generated_from_trainer #base_model-haryoaw/scenario-TCR_data-en-cardiff_eng_only2 #license-mit #autotrain_compatible #endpoints_compatible #region-us \n",
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\... | [
66,
102,
5,
44
] | [
"TAGS\n#transformers #pytorch #xlm-roberta #text-classification #generated_from_trainer #base_model-haryoaw/scenario-TCR_data-en-cardiff_eng_only2 #license-mit #autotrain_compatible #endpoints_compatible #region-us \n### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* l... |
text-to-image | diffusers | Model info:
https://civitai.com/models/116387/aurorafantasy
Original Author's DEMO image:
Sample image generated by Huggingface's API :
(masterpiece,best quality:1.2), 1girl plati... | {"license": "other", "tags": ["stable-diffusion", "stable-diffusion-diffusers", "text-to-image", "diffusers"], "inference": true} | digiplay/aurorafantasy_v1 | null | [
"diffusers",
"safetensors",
"stable-diffusion",
"stable-diffusion-diffusers",
"text-to-image",
"license:other",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | null | 2024-04-05T16:06:03+00:00 | [] | [] | TAGS
#diffusers #safetensors #stable-diffusion #stable-diffusion-diffusers #text-to-image #license-other #endpoints_compatible #has_space #diffusers-StableDiffusionPipeline #region-us
| Model info:
URL
Original Author's DEMO image:
!00039-2286537344 (1).png
Sample image generated by Huggingface's API :
(masterpiece,best quality:1.2), 1girl platinum blonde, Cloud Hair, winter,close up,hose, (cinematic lightings), :D
!URL | [] | [
"TAGS\n#diffusers #safetensors #stable-diffusion #stable-diffusion-diffusers #text-to-image #license-other #endpoints_compatible #has_space #diffusers-StableDiffusionPipeline #region-us \n"
] | [
52
] | [
"TAGS\n#diffusers #safetensors #stable-diffusion #stable-diffusion-diffusers #text-to-image #license-other #endpoints_compatible #has_space #diffusers-StableDiffusionPipeline #region-us \n"
] |
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. -->
# phi-1_5-finetuned-aqua-rat-AM-teacher-2k-r-8
This model is a fine-tuned version of [microsoft/phi-1_5](https://huggingface.co/mi... | {"license": "mit", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "microsoft/phi-1_5", "model-index": [{"name": "phi-1_5-finetuned-aqua-rat-AM-teacher-2k-r-8", "results": []}]} | rk68/phi-1_5-finetuned-aqua-rat-AM-teacher-2k-r-8 | null | [
"peft",
"tensorboard",
"safetensors",
"generated_from_trainer",
"base_model:microsoft/phi-1_5",
"license:mit",
"region:us"
] | null | 2024-04-05T16:13:30+00:00 | [] | [] | TAGS
#peft #tensorboard #safetensors #generated_from_trainer #base_model-microsoft/phi-1_5 #license-mit #region-us
|
# phi-1_5-finetuned-aqua-rat-AM-teacher-2k-r-8
This model is a fine-tuned version of microsoft/phi-1_5 on the None dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Tr... | [
"# phi-1_5-finetuned-aqua-rat-AM-teacher-2k-r-8\n\nThis model is a fine-tuned version of microsoft/phi-1_5 on the None dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information needed",
"## ... | [
"TAGS\n#peft #tensorboard #safetensors #generated_from_trainer #base_model-microsoft/phi-1_5 #license-mit #region-us \n",
"# phi-1_5-finetuned-aqua-rat-AM-teacher-2k-r-8\n\nThis model is a fine-tuned version of microsoft/phi-1_5 on the None dataset.",
"## Model description\n\nMore information needed",
"## Int... | [
37,
47,
7,
9,
9,
4,
95,
5,
52
] | [
"TAGS\n#peft #tensorboard #safetensors #generated_from_trainer #base_model-microsoft/phi-1_5 #license-mit #region-us \n# phi-1_5-finetuned-aqua-rat-AM-teacher-2k-r-8\n\nThis model is a fine-tuned version of microsoft/phi-1_5 on the None dataset.## Model description\n\nMore information needed## Intended uses & limit... |
null | null | # deepspeed_code | {} | c00cjz00/demo | null | [
"gguf",
"region:us"
] | null | 2024-04-05T16:13:53+00:00 | [] | [] | TAGS
#gguf #region-us
| # deepspeed_code | [
"# deepspeed_code"
] | [
"TAGS\n#gguf #region-us \n",
"# deepspeed_code"
] | [
9,
6
] | [
"TAGS\n#gguf #region-us \n# deepspeed_code"
] |
text-generation | transformers | Figured the model must have learned the data a somewhat different way for all three training methods.
Decided to test if merging them would give generalization benefits. I think it didn't hurt at least!
| Model |AGIEval|GPT4All|TruthfulQA|Bigbench... | {"tags": ["mergekit", "merge"], "base_model": ["Lambent/CosmoAlpacaLight-1b", "HuggingFaceTB/cosmo-1b", "Lambent/CosmoAlpacaLisa-1b", "Lambent/CosmoAlpacaLisa-0.2-1b"]} | Lambent/CosmoAlpacaLisa-0.3-1b | null | [
"transformers",
"safetensors",
"llama",
"text-generation",
"mergekit",
"merge",
"arxiv:2311.03099",
"arxiv:2306.01708",
"base_model:Lambent/CosmoAlpacaLight-1b",
"base_model:HuggingFaceTB/cosmo-1b",
"base_model:Lambent/CosmoAlpacaLisa-1b",
"base_model:Lambent/CosmoAlpacaLisa-0.2-1b",
"autotr... | null | 2024-04-05T16:14:29+00:00 | [
"2311.03099",
"2306.01708"
] | [] | TAGS
#transformers #safetensors #llama #text-generation #mergekit #merge #arxiv-2311.03099 #arxiv-2306.01708 #base_model-Lambent/CosmoAlpacaLight-1b #base_model-HuggingFaceTB/cosmo-1b #base_model-Lambent/CosmoAlpacaLisa-1b #base_model-Lambent/CosmoAlpacaLisa-0.2-1b #autotrain_compatible #endpoints_compatible #text-gene... | Figured the model must have learned the data a somewhat different way for all three training methods.
Decided to test if merging them would give generalization benefits. I think it didn't hurt at least!
lisacosmo
=========
This is a merge of pre-trained language models created using mergekit.
Merge Details
----... | [
"### Merge Method\n\n\nThis model was merged using the DARE TIES merge method using HuggingFaceTB/cosmo-1b as a base.",
"### Models Merged\n\n\nThe following models were included in the merge:\n\n\n* Lambent/CosmoAlpacaLight-1b\n* Lambent/CosmoAlpacaLisa-1b\n* Lambent/CosmoAlpacaLisa-0.2-1b",
"### Configuration... | [
"TAGS\n#transformers #safetensors #llama #text-generation #mergekit #merge #arxiv-2311.03099 #arxiv-2306.01708 #base_model-Lambent/CosmoAlpacaLight-1b #base_model-HuggingFaceTB/cosmo-1b #base_model-Lambent/CosmoAlpacaLisa-1b #base_model-Lambent/CosmoAlpacaLisa-0.2-1b #autotrain_compatible #endpoints_compatible #tex... | [
128,
29,
54,
16
] | [
"TAGS\n#transformers #safetensors #llama #text-generation #mergekit #merge #arxiv-2311.03099 #arxiv-2306.01708 #base_model-Lambent/CosmoAlpacaLight-1b #base_model-HuggingFaceTB/cosmo-1b #base_model-Lambent/CosmoAlpacaLisa-1b #base_model-Lambent/CosmoAlpacaLisa-0.2-1b #autotrain_compatible #endpoints_compatible #tex... |
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. -->
# hyperparam-rust-lora-32-2-epoch
This model is a fine-tuned version of [deepseek-ai/deepseek-coder-1.3b-base](https://huggingface... | {"license": "other", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "datasets": ["generator"], "base_model": "deepseek-ai/deepseek-coder-1.3b-base", "model-index": [{"name": "hyperparam-rust-lora-32-2-epoch", "results": []}]} | ysr/hyperparam-rust-lora-32-2-epoch | null | [
"peft",
"safetensors",
"trl",
"sft",
"generated_from_trainer",
"dataset:generator",
"base_model:deepseek-ai/deepseek-coder-1.3b-base",
"license:other",
"region:us"
] | null | 2024-04-05T16:18:15+00:00 | [] | [] | TAGS
#peft #safetensors #trl #sft #generated_from_trainer #dataset-generator #base_model-deepseek-ai/deepseek-coder-1.3b-base #license-other #region-us
| hyperparam-rust-lora-32-2-epoch
===============================
This model is a fine-tuned version of deepseek-ai/deepseek-coder-1.3b-base on the generator dataset.
It achieves the following results on the evaluation set:
* Loss: 0.4897
Model description
-----------------
More information needed
Intended uses... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0001\n* train\\_batch\\_size: 1\n* eval\\_batch\\_size: 1\n* seed: 42\n* gradient\\_accumulation\\_steps: 32\n* total\\_train\\_batch\\_size: 32\n* optimizer: Adam with betas=(0.9,0.999) and epsilon... | [
"TAGS\n#peft #safetensors #trl #sft #generated_from_trainer #dataset-generator #base_model-deepseek-ai/deepseek-coder-1.3b-base #license-other #region-us \n",
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0001\n* train\\_batch\\_size: 1\n* ev... | [
57,
144,
5,
48
] | [
"TAGS\n#peft #safetensors #trl #sft #generated_from_trainer #dataset-generator #base_model-deepseek-ai/deepseek-coder-1.3b-base #license-other #region-us \n### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0001\n* train\\_batch\\_size: 1\n* eval\\_b... |
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. -->
# clasificador-muchocine
This model is a fine-tuned version of [mrm8488/electricidad-base-discriminator](https://huggingface.co/mr... | {"tags": ["classification", "generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mrm8488/electricidad-base-discriminator", "model-index": [{"name": "clasificador-muchocine", "results": []}]} | aalzres/clasificador-muchocine | null | [
"transformers",
"safetensors",
"electra",
"text-classification",
"classification",
"generated_from_trainer",
"base_model:mrm8488/electricidad-base-discriminator",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-05T16:18:33+00:00 | [] | [] | TAGS
#transformers #safetensors #electra #text-classification #classification #generated_from_trainer #base_model-mrm8488/electricidad-base-discriminator #autotrain_compatible #endpoints_compatible #region-us
| clasificador-muchocine
======================
This model is a fine-tuned version of mrm8488/electricidad-base-discriminator on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 1.4409
* Accuracy: 0.4310
Model description
-----------------
More information needed
Intended uses ... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 8\n* eval\\_batch\\_size: 8\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 3.0",
"### Traini... | [
"TAGS\n#transformers #safetensors #electra #text-classification #classification #generated_from_trainer #base_model-mrm8488/electricidad-base-discriminator #autotrain_compatible #endpoints_compatible #region-us \n",
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n*... | [
55,
103,
5,
44
] | [
"TAGS\n#transformers #safetensors #electra #text-classification #classification #generated_from_trainer #base_model-mrm8488/electricidad-base-discriminator #autotrain_compatible #endpoints_compatible #region-us \n### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learn... |
text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | Grayx/unstable_42 | null | [
"transformers",
"safetensors",
"stablelm",
"text-generation",
"conversational",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-05T16:18:41+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #stablelm #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Developed by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Model type: \n- Language(s)... | [
"TAGS\n#transformers #safetensors #stablelm #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #region-us \n",
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the ... | [
41,
6,
4,
75,
23,
3,
5,
8,
9,
8,
34,
20,
4,
5,
5,
11,
13,
12,
3,
10,
6,
5,
6,
4,
5,
7,
49,
7,
7,
5,
5,
15,
7,
7,
8,
5
] | [
"TAGS\n#transformers #safetensors #stablelm #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #region-us \n# Model Card for Model ID## Model Details### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model ca... |
null | null | sanskrit to english translation | {} | shivam21mishra08/sanstoenglishapi | null | [
"region:us"
] | null | 2024-04-05T16:19:06+00:00 | [] | [] | TAGS
#region-us
| sanskrit to english translation | [] | [
"TAGS\n#region-us \n"
] | [
5
] | [
"TAGS\n#region-us \n"
] |
text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | yuiseki/tinyllama-mr-wikipedia-1.5T-v0.1 | null | [
"transformers",
"safetensors",
"llama",
"text-generation",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-05T16:22:39+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #llama #text-generation #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Developed by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Model type: \n- Language(s)... | [
"TAGS\n#transformers #safetensors #llama #text-generation #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed... | [
44,
6,
4,
75,
23,
3,
5,
8,
9,
8,
34,
20,
4,
5,
5,
11,
13,
12,
3,
10,
6,
5,
6,
4,
5,
7,
49,
7,
7,
5,
5,
15,
7,
7,
8,
5
] | [
"TAGS\n#transformers #safetensors #llama #text-generation #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n# Model Card for Model ID## Model Details### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This ... |
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. -->
# Human_action_classifier
This model is a fine-tuned version of [google/vit-base-patch16-224-in21K](https://huggingface.co/google/... | {"license": "apache-2.0", "tags": ["image-classification", "generated_from_trainer"], "metrics": ["accuracy"], "base_model": "google/vit-base-patch16-224-in21K", "model-index": [{"name": "Human_action_classifier", "results": []}]} | luciagil/Human_action_classifier | null | [
"transformers",
"tensorboard",
"safetensors",
"vit",
"image-classification",
"generated_from_trainer",
"base_model:google/vit-base-patch16-224-in21K",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-05T16:24:04+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #vit #image-classification #generated_from_trainer #base_model-google/vit-base-patch16-224-in21K #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
| Human\_action\_classifier
=========================
This model is a fine-tuned version of google/vit-base-patch16-224-in21K on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.5303
* Accuracy: 0.8496
Model description
-----------------
More information needed
Intended use... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0002\n* train\\_batch\\_size: 16\n* eval\\_batch\\_size: 8\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\n* mixed\\_prec... | [
"TAGS\n#transformers #tensorboard #safetensors #vit #image-classification #generated_from_trainer #base_model-google/vit-base-patch16-224-in21K #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us \n",
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training... | [
65,
112,
5,
44
] | [
"TAGS\n#transformers #tensorboard #safetensors #vit #image-classification #generated_from_trainer #base_model-google/vit-base-patch16-224-in21K #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us \n### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\... |
automatic-speech-recognition | transformers | # Whisper-Large-V3-Illuin-French
This model is a finetuned variant of openai's [whisper-large-v3](openai/whisper-large-v3) model.
It has been finetuned on a dataset of more than 18 000 hours of french speech.
This model has been converted and tested into some other formats to allow use with the most popular inferenc... | {"language": ["fr"], "license": "cc-by-4.0", "pipeline_tag": "automatic-speech-recognition"} | BrunoHays/whisper-large-v3-french-illuin | null | [
"transformers",
"safetensors",
"whisper",
"automatic-speech-recognition",
"fr",
"license:cc-by-4.0",
"endpoints_compatible",
"region:us"
] | null | 2024-04-05T16:29:42+00:00 | [] | [
"fr"
] | TAGS
#transformers #safetensors #whisper #automatic-speech-recognition #fr #license-cc-by-4.0 #endpoints_compatible #region-us
| # Whisper-Large-V3-Illuin-French
This model is a finetuned variant of openai's whisper-large-v3 model.
It has been finetuned on a dataset of more than 18 000 hours of french speech.
This model has been converted and tested into some other formats to allow use with the most popular inference frameworks:
- transform... | [
"# Whisper-Large-V3-Illuin-French\n\nThis model is a finetuned variant of openai's whisper-large-v3 model.\nIt has been finetuned on a dataset of more than 18 000 hours of french speech.\n\n\nThis model has been converted and tested into some other formats to allow use with the most popular inference frameworks: \n... | [
"TAGS\n#transformers #safetensors #whisper #automatic-speech-recognition #fr #license-cc-by-4.0 #endpoints_compatible #region-us \n",
"# Whisper-Large-V3-Illuin-French\n\nThis model is a finetuned variant of openai's whisper-large-v3 model.\nIt has been finetuned on a dataset of more than 18 000 hours of french s... | [
36,
98,
3,
121,
148,
72,
77,
171,
18
] | [
"TAGS\n#transformers #safetensors #whisper #automatic-speech-recognition #fr #license-cc-by-4.0 #endpoints_compatible #region-us \n# Whisper-Large-V3-Illuin-French\n\nThis model is a finetuned variant of openai's whisper-large-v3 model.\nIt has been finetuned on a dataset of more than 18 000 hours of french speech.... |
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. -->
# roberta_mental
This model was trained from scratch on an unknown dataset.
## Model description
More information needed
## Int... | {"tags": ["generated_from_trainer"], "model-index": [{"name": "roberta_mental", "results": []}]} | ColinCcz/roberta_mental | null | [
"transformers",
"safetensors",
"roberta",
"text-classification",
"generated_from_trainer",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-05T16:30:53+00:00 | [] | [] | TAGS
#transformers #safetensors #roberta #text-classification #generated_from_trainer #autotrain_compatible #endpoints_compatible #region-us
|
# roberta_mental
This model was trained from scratch on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparam... | [
"# roberta_mental\n\nThis model was trained from scratch on an unknown dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information needed",
"## Training procedure",
"### Training hyperparame... | [
"TAGS\n#transformers #safetensors #roberta #text-classification #generated_from_trainer #autotrain_compatible #endpoints_compatible #region-us \n",
"# roberta_mental\n\nThis model was trained from scratch on an unknown dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitatio... | [
33,
16,
7,
9,
9,
4,
106,
40
] | [
"TAGS\n#transformers #safetensors #roberta #text-classification #generated_from_trainer #autotrain_compatible #endpoints_compatible #region-us \n# roberta_mental\n\nThis model was trained from scratch on an unknown dataset.## Model description\n\nMore information needed## Intended uses & limitations\n\nMore informa... |
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. -->
# phi-1_5-finetuned-aqua-rat-AM-teacher-2k-r-24
This model is a fine-tuned version of [microsoft/phi-1_5](https://huggingface.co/m... | {"license": "mit", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "microsoft/phi-1_5", "model-index": [{"name": "phi-1_5-finetuned-aqua-rat-AM-teacher-2k-r-24", "results": []}]} | rk68/phi-1_5-finetuned-aqua-rat-AM-teacher-2k-r-24 | null | [
"peft",
"tensorboard",
"safetensors",
"generated_from_trainer",
"base_model:microsoft/phi-1_5",
"license:mit",
"region:us"
] | null | 2024-04-05T16:33:04+00:00 | [] | [] | TAGS
#peft #tensorboard #safetensors #generated_from_trainer #base_model-microsoft/phi-1_5 #license-mit #region-us
|
# phi-1_5-finetuned-aqua-rat-AM-teacher-2k-r-24
This model is a fine-tuned version of microsoft/phi-1_5 on the None dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### T... | [
"# phi-1_5-finetuned-aqua-rat-AM-teacher-2k-r-24\n\nThis model is a fine-tuned version of microsoft/phi-1_5 on the None dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information needed",
"##... | [
"TAGS\n#peft #tensorboard #safetensors #generated_from_trainer #base_model-microsoft/phi-1_5 #license-mit #region-us \n",
"# phi-1_5-finetuned-aqua-rat-AM-teacher-2k-r-24\n\nThis model is a fine-tuned version of microsoft/phi-1_5 on the None dataset.",
"## Model description\n\nMore information needed",
"## In... | [
37,
47,
7,
9,
9,
4,
95,
5,
52
] | [
"TAGS\n#peft #tensorboard #safetensors #generated_from_trainer #base_model-microsoft/phi-1_5 #license-mit #region-us \n# phi-1_5-finetuned-aqua-rat-AM-teacher-2k-r-24\n\nThis model is a fine-tuned version of microsoft/phi-1_5 on the None dataset.## Model description\n\nMore information needed## Intended uses & limi... |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.