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text-generation | transformers | <!-- header start -->
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text-generation | transformers |
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automatic-speech-recognition | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# openthai-mistral-7b-text-to-pandas
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# openthai-mistral-7b-text-to-pandas
This model is a fine-tuned version of openthaigpt/openthai-mistral-pretrained-7B on the generator dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Traini... | [
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null | null |
# Model description
GMML is a self-supervised learning model that learns to group masked pixels in an image. The model is trained on ImageNet-1K.
# Model Sources
- https://github.com/Sara-Ahmed/GMML
- https://arxiv.org/abs/2205.14986
# Model Card Authors
Sara Atito, Muhammad Awais, Josef Kittler
# How to use
... | {"license": "apache-2.0", "tags": ["self-supervised learning", "vision", "GMML"], "inference": false} | erow/GMML | null | [
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text-generation | transformers | # GreenBit LLMs
This is GreenBitAI's pretrained **low-bit** LLMs with extreme compression yet still strong performance.
Please refer to our [Github page](https://github.com/GreenBitAI/green-bit-llm) for the code to run the model and more information.
| **Repository (Llama 3 Family)** | **Avg Acc.** | **OpenB... | {"license": "apache-2.0"} | GreenBitAI/Llama-3-8B-instruct-layer-mix-bpw-4.0 | null | [
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| GreenBit LLMs
=============
This is GreenBitAI's pretrained low-bit LLMs with extreme compression yet still strong performance.
Please refer to our Github page for the code to run the model and more information.
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text-generation | transformers |
# Model Card for Model ID
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text-generation | transformers |
# Model Card for Model ID
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image-text-to-text | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
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##... | {"language": ["ru"], "license": "apache-2.0", "library_name": "transformers", "tags": ["multimodal", "vision", "image-text-to-text"], "datasets": "Vikhrmodels/LLaVA-Instruct-ru", "pipeline_tag": "image-text-to-text"} | GeorgeBredis/ruIdefics2-ruLLaVA-merged | null | [
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|
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token-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# distilbert-base-uncased-no-perturb
This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://hugg... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["precision", "recall", "f1", "accuracy"], "base_model": "distilbert/distilbert-base-uncased", "model-index": [{"name": "distilbert-base-uncased-no-perturb", "results": []}]} | bozhidara-pesheva/distilbert-base-uncased-no-perturb | null | [
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| distilbert-base-uncased-no-perturb
==================================
This model is a fine-tuned version of distilbert/distilbert-base-uncased on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1545
* Precision: 0.3826
* Recall: 0.3778
* F1: 0.3802
* Accuracy: 0.9597
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | shallow6414/2737r7z | null | [
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text2text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# t5-small_ter
This model is a fine-tuned version of [google-t5/t5-small](https://huggingface.co/google-t5/t5-small) on an unknown... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["bleu"], "base_model": "google-t5/t5-small", "model-index": [{"name": "t5-small_ter", "results": []}]} | lesha-grishchenko/t5-small_ter | null | [
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| t5-small\_ter
=============
This model is a fine-tuned version of google-t5/t5-small on an unknown dataset.
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* Bleu: 0.009
* Gen Len: 19.0
Model description
-----------------
More information needed
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------------... | [
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text-generation | transformers | <!-- header start -->
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![Twitter](URL
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text-generation | transformers | <!-- header start -->
<!-- 200823 -->
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<a href="https://www.pruna.ai/" target="_blank" rel="noopener noreferrer">
<img src="https://i.imgur.com/eDAlcgk.png" alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
... | {"tags": ["pruna-ai"], "metrics": ["memory_disk", "memory_inference", "inference_latency", "inference_throughput", "inference_CO2_emissions", "inference_energy_consumption"], "thumbnail": "https://assets-global.website-files.com/646b351987a8d8ce158d1940/64ec9e96b4334c0e1ac41504_Logo%20with%20white%20text.svg", "base_mo... | PrunaAI/google-codegemma-7b-it-HQQ-1bit-smashed | null | [
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"region:us"
] | null | 2024-04-29T13:36:07+00:00 | [] | [] | TAGS
#transformers #gemma #text-generation #pruna-ai #base_model-google/codegemma-7b-it #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
<div style="width: auto; margin-left: auto; margin-right: auto">
<a href="URL target="_blank" rel="noopener noreferrer">
<img src="https://i.URL alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
</a>
</div>
![Twitter](URL
![GitHub](URL
![LinkedIn](URL
![Discord](URL... | [
"# Simply make AI models cheaper, smaller, faster, and greener!\n\n- Give a thumbs up if you like this model!\n- Contact us and tell us which model to compress next here.\n- Request access to easily compress your *own* AI models here.\n- Read the documentations to know more here\n- Join Pruna AI community on Discor... | [
"TAGS\n#transformers #gemma #text-generation #pruna-ai #base_model-google/codegemma-7b-it #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
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text-classification | transformers | ## TextAttack Model Card
This `bert` model was fine-tuned using TextAttack. The model was fine-tuned
for 3 epochs with a batch size of 8,
a maximum sequence length of 512, and an initial learning rate of 3e-05.
Since this was a classification task, the model was trained... | {"language": ["zh"], "license": "apache-2.0", "metrics": ["accuracy"], "pipeline_tag": "text-classification"} | WangA/roberta-base-finetuned-ctrip | null | [
"transformers",
"safetensors",
"bert",
"text-classification",
"zh",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-29T13:36:23+00:00 | [] | [
"zh"
] | TAGS
#transformers #safetensors #bert #text-classification #zh #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
| ## TextAttack Model Card
This 'bert' model was fine-tuned using TextAttack. The model was fine-tuned
for 3 epochs with a batch size of 8,
a maximum sequence length of 512, and an initial learning rate of 3e-05.
Since this was a classification task, the model was trained... | [
"## TextAttack Model Card\n\n This 'bert' model was fine-tuned using TextAttack. The model was fine-tuned\n for 3 epochs with a batch size of 8,\n a maximum sequence length of 512, and an initial learning rate of 3e-05.\n Since this was a classification task, the model w... | [
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null | mlx |
# GreenBitAI/Llama-3-8B-layer-mix-bpw-4.0-mlx
This quantized low-bit model was converted to MLX format from [`GreenBitAI/Llama-3-8B-layer-mix-bpw-4.0`]().
Refer to the [original model card](https://huggingface.co/GreenBitAI/Llama-3-8B-layer-mix-bpw-4.0) for more details on the model.
## Use with mlx
```bash
pip insta... | {"license": "apache-2.0", "tags": ["mlx"]} | GreenBitAI/Llama-3-8B-layer-mix-bpw-4.0-mlx | null | [
"mlx",
"safetensors",
"llama",
"license:apache-2.0",
"region:us"
] | null | 2024-04-29T13:36:32+00:00 | [] | [] | TAGS
#mlx #safetensors #llama #license-apache-2.0 #region-us
|
# GreenBitAI/Llama-3-8B-layer-mix-bpw-4.0-mlx
This quantized low-bit model was converted to MLX format from ['GreenBitAI/Llama-3-8B-layer-mix-bpw-4.0']().
Refer to the original model card for more details on the model.
## Use with mlx
| [
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] |
text-generation | transformers | <!-- header start -->
<!-- 200823 -->
<div style="width: auto; margin-left: auto; margin-right: auto">
<a href="https://www.pruna.ai/" target="_blank" rel="noopener noreferrer">
<img src="https://i.imgur.com/eDAlcgk.png" alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
... | {"tags": ["pruna-ai"], "metrics": ["memory_disk", "memory_inference", "inference_latency", "inference_throughput", "inference_CO2_emissions", "inference_energy_consumption"], "thumbnail": "https://assets-global.website-files.com/646b351987a8d8ce158d1940/64ec9e96b4334c0e1ac41504_Logo%20with%20white%20text.svg", "base_mo... | PrunaAI/google-codegemma-7b-HQQ-2bit-smashed | null | [
"transformers",
"gemma",
"text-generation",
"pruna-ai",
"base_model:google/codegemma-7b",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-29T13:36:50+00:00 | [] | [] | TAGS
#transformers #gemma #text-generation #pruna-ai #base_model-google/codegemma-7b #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
<div style="width: auto; margin-left: auto; margin-right: auto">
<a href="URL target="_blank" rel="noopener noreferrer">
<img src="https://i.URL alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
</a>
</div>
![Twitter](URL
![GitHub](URL
![LinkedIn](URL
![Discord](URL... | [
"# Simply make AI models cheaper, smaller, faster, and greener!\n\n- Give a thumbs up if you like this model!\n- Contact us and tell us which model to compress next here.\n- Request access to easily compress your *own* AI models here.\n- Read the documentations to know more here\n- Join Pruna AI community on Discor... | [
"TAGS\n#transformers #gemma #text-generation #pruna-ai #base_model-google/codegemma-7b #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
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text-generation | transformers | <!-- header start -->
<!-- 200823 -->
<div style="width: auto; margin-left: auto; margin-right: auto">
<a href="https://www.pruna.ai/" target="_blank" rel="noopener noreferrer">
<img src="https://i.imgur.com/eDAlcgk.png" alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
... | {"tags": ["pruna-ai"], "metrics": ["memory_disk", "memory_inference", "inference_latency", "inference_throughput", "inference_CO2_emissions", "inference_energy_consumption"], "thumbnail": "https://assets-global.website-files.com/646b351987a8d8ce158d1940/64ec9e96b4334c0e1ac41504_Logo%20with%20white%20text.svg", "base_mo... | PrunaAI/google-codegemma-7b-HQQ-1bit-smashed | null | [
"transformers",
"gemma",
"text-generation",
"pruna-ai",
"base_model:google/codegemma-7b",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-29T13:37:03+00:00 | [] | [] | TAGS
#transformers #gemma #text-generation #pruna-ai #base_model-google/codegemma-7b #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
<div style="width: auto; margin-left: auto; margin-right: auto">
<a href="URL target="_blank" rel="noopener noreferrer">
<img src="https://i.URL alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
</a>
</div>
![Twitter](URL
![GitHub](URL
![LinkedIn](URL
![Discord](URL... | [
"# Simply make AI models cheaper, smaller, faster, and greener!\n\n- Give a thumbs up if you like this model!\n- Contact us and tell us which model to compress next here.\n- Request access to easily compress your *own* AI models here.\n- Read the documentations to know more here\n- Join Pruna AI community on Discor... | [
"TAGS\n#transformers #gemma #text-generation #pruna-ai #base_model-google/codegemma-7b #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
"# Simply make AI models cheaper, smaller, faster, and greener!\n\n- Give a thumbs up if you like this model!\n- Contact us and tell us whic... | [
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width... | {"license": "other", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "meta-llama/Meta-Llama-3-8B-Instruct", "model-index": [{"name": "results", "results": []}]} | nilsuoz/Llama-3-8B-Instruct-Finance_v1000 | null | [
"peft",
"tensorboard",
"safetensors",
"trl",
"sft",
"generated_from_trainer",
"base_model:meta-llama/Meta-Llama-3-8B-Instruct",
"license:other",
"region:us"
] | null | 2024-04-29T13:37:08+00:00 | [] | [] | TAGS
#peft #tensorboard #safetensors #trl #sft #generated_from_trainer #base_model-meta-llama/Meta-Llama-3-8B-Instruct #license-other #region-us
|
<img src="URL alt="Visualize in Weights & Biases" width="200" height="32"/>
# results
This model is a fine-tuned version of meta-llama/Meta-Llama-3-8B-Instruct on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation d... | [
"# results\n\nThis model is a fine-tuned version of meta-llama/Meta-Llama-3-8B-Instruct 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 procedur... | [
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null | transformers |
# itayl/Hebrew-Mistral-7B_Chat-Q8_0-GGUF
This model was converted to GGUF format from [`itayl/Hebrew-Mistral-7B_Chat`](https://huggingface.co/itayl/Hebrew-Mistral-7B_Chat) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original model card](htt... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl", "llama-cpp", "gguf-my-repo"], "base_model": "yam-peleg/Hebrew-Mistral-7B"} | itayl/Hebrew-Mistral-7B_Chat-Q8_0-GGUF | null | [
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"gguf-my-repo",
"en",
"base_model:yam-peleg/Hebrew-Mistral-7B",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2024-04-29T13:37:23+00:00 | [] | [
"en"
] | TAGS
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|
# itayl/Hebrew-Mistral-7B_Chat-Q8_0-GGUF
This model was converted to GGUF format from 'itayl/Hebrew-Mistral-7B_Chat' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
CLI:
Server... | [
"# itayl/Hebrew-Mistral-7B_Chat-Q8_0-GGUF\nThis model was converted to GGUF format from 'itayl/Hebrew-Mistral-7B_Chat' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
"## Use with URL\n\nInstall URL through brew.\n\n\nInvoke the URL server or the CLI.... | [
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"# itayl/Hebrew-Mistral-7B_Chat-Q8_0-GGUF\nThis model was converted to GGUF format from 'itayl/Hebrew-Mistral-... | [
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"TAGS\n#transformers #gguf #text-generation-inference #unsloth #mistral #trl #llama-cpp #gguf-my-repo #en #base_model-yam-peleg/Hebrew-Mistral-7B #license-apache-2.0 #endpoints_compatible #region-us \n# itayl/Hebrew-Mistral-7B_Chat-Q8_0-GGUF\nThis model was converted to GGUF format from 'itayl/Hebrew-Mistral-7B_Cha... |
reinforcement-learning | null |
# **Q-Learning** Agent playing1 **FrozenLake-v1**
This is a trained model of a **Q-Learning** agent playing **FrozenLake-v1** .
## Usage
```python
model = load_from_hub(repo_id="ThatOneSkyler/q-FrozenLake-v1-4x4-noSlippery", filename="q-learning.pkl")
# Don't forget to check if you need to add addition... | {"tags": ["FrozenLake-v1-4x4-no_slippery", "q-learning", "reinforcement-learning", "custom-implementation"], "model-index": [{"name": "q-FrozenLake-v1-4x4-noSlippery", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "FrozenLake-v1-4x4-no_slippery", "type": ... | ThatOneSkyler/q-FrozenLake-v1-4x4-noSlippery | null | [
"FrozenLake-v1-4x4-no_slippery",
"q-learning",
"reinforcement-learning",
"custom-implementation",
"model-index",
"region:us"
] | null | 2024-04-29T13:37:35+00:00 | [] | [] | TAGS
#FrozenLake-v1-4x4-no_slippery #q-learning #reinforcement-learning #custom-implementation #model-index #region-us
|
# Q-Learning Agent playing1 FrozenLake-v1
This is a trained model of a Q-Learning agent playing FrozenLake-v1 .
## Usage
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | v-urushkin/SyntheticT5-tokenizer | null | [
"transformers",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-04-29T13:37:46+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- Shared by [optional]:
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | noeloco/loracamel-dpo | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": ["trl", "sft"]} | nilsuoz/Llama-3-8B-Instruct-Finance_v1000_model | null | [
"transformers",
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"endpoints_compatible",
"text-generation-inference",
"4-bit",
"region:us"
] | null | 2024-04-29T13:38:26+00:00 | [
"1910.09700"
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#transformers #safetensors #llama #text-generation #trl #sft #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #4-bit #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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null | peft |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
- **Developed by:** [More Information Needed]
- **Funded by [optional]:** [More Information Needed]
- **Shared by [optional]:** ... | {"library_name": "peft", "base_model": "huggyllama/llama-7b"} | shrenikb/hftestepoch7id7 | null | [
"peft",
"safetensors",
"arxiv:1910.09700",
"base_model:huggyllama/llama-7b",
"region:us"
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#peft #safetensors #arxiv-1910.09700 #base_model-huggyllama/llama-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]:
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text-to-image | diffusers |
# API Inference
## Get API Key
Get API key from [ModelsLab API](http://modelslab.com), No Payment needed.
Replace Key in below code, change **model_id** to "cyberrealisticclassicv31"
Codin... | {"license": "creativeml-openrail-m", "tags": ["modelslab.com", "stable-diffusion-api", "text-to-image", "ultra-realistic"], "pinned": true} | stablediffusionapi/cyberrealisticclassicv31 | null | [
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"text-to-image",
"ultra-realistic",
"license:creativeml-openrail-m",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
] | null | 2024-04-29T13:40:08+00:00 | [] | [] | TAGS
#diffusers #modelslab.com #stable-diffusion-api #text-to-image #ultra-realistic #license-creativeml-openrail-m #endpoints_compatible #diffusers-StableDiffusionPipeline #region-us
|
# API Inference
!generated from URL
## Get API Key
Get API key from ModelsLab API, No Payment needed.
Replace Key in below code, change model_id to "cyberrealisticclassicv31"
Coding in PHP/Node/Java etc? Have a look at docs for more code examples: View docs
Try model for free: Generate Images
Model link: View... | [
"# API Inference\n\n!generated from URL",
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automatic-speech-recognition | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# Whisper Tiny chinese - VingeNie
This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whispe... | {"language": ["zh"], "license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["mozilla-foundation/common_voice_16_1"], "base_model": "openai/whisper-tiny", "model-index": [{"name": "Whisper Tiny chinese - VingeNie", "results": []}]} | VingeNie/whisper-tiny-zh_CN | null | [
"transformers",
"tensorboard",
"safetensors",
"whisper",
"automatic-speech-recognition",
"generated_from_trainer",
"zh",
"dataset:mozilla-foundation/common_voice_16_1",
"base_model:openai/whisper-tiny",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2024-04-29T13:41:44+00:00 | [] | [
"zh"
] | TAGS
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| Whisper Tiny chinese - VingeNie
===============================
This model is a fine-tuned version of openai/whisper-tiny on the Common Voice 16.1 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.7681
* Cer Ortho: 38.5858
* Cer: 29.8372
Model description
-----------------
More informa... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0001\n* train\\_batch\\_size: 64\n* eval\\_batch\\_size: 32\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: constant\\_with\\_warmup\n* lr\\_schedul... | [
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reinforcement-learning | null |
# **Q-Learning** Agent playing1 **Taxi-v3**
This is a trained model of a **Q-Learning** agent playing **Taxi-v3** .
## Usage
```python
model = load_from_hub(repo_id="ThatOneSkyler/taxi-v3", filename="q-learning.pkl")
# Don't forget to check if you need to add additional attributes (is_slippery=False et... | {"tags": ["Taxi-v3", "q-learning", "reinforcement-learning", "custom-implementation"], "model-index": [{"name": "taxi-v3", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "Taxi-v3", "type": "Taxi-v3"}, "metrics": [{"type": "mean_reward", "value": "7.50 +/- ... | ThatOneSkyler/taxi-v3 | null | [
"Taxi-v3",
"q-learning",
"reinforcement-learning",
"custom-implementation",
"model-index",
"region:us"
] | null | 2024-04-29T13:43:26+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
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] |
text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# selfbiorag-7b-dpo-full-sft-wo-medication_qa
This model is a fine-tuned version of [Minbyul/selfbiorag-7b-wo-medication_qa-sft](h... | {"tags": ["alignment-handbook", "trl", "dpo", "generated_from_trainer", "trl", "dpo", "alignment-handbook", "generated_from_trainer"], "datasets": ["HuggingFaceH4/ultrafeedback_binarized"], "base_model": "Minbyul/selfbiorag-7b-wo-medication_qa-sft", "model-index": [{"name": "selfbiorag-7b-dpo-full-sft-wo-medication_qa"... | Minbyul/selfbiorag-7b-dpo-full-sft-wo-medication_qa | null | [
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"base_model:Minbyul/selfbiorag-7b-wo-medication_qa-sft",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-... | null | 2024-04-29T13:43:50+00:00 | [] | [] | TAGS
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| selfbiorag-7b-dpo-full-sft-wo-medication\_qa
============================================
This model is a fine-tuned version of Minbyul/selfbiorag-7b-wo-medication\_qa-sft on the HuggingFaceH4/ultrafeedback\_binarized dataset.
It achieves the following results on the evaluation set:
* Loss: 0.2759
* Rewards/chosen:... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-06\n* train\\_batch\\_size: 8\n* eval\\_batch\\_size: 8\n* seed: 42\n* distributed\\_type: multi-GPU\n* num\\_devices: 4\n* gradient\\_accumulation\\_steps: 2\n* total\\_train\\_batch\\_size: 64\n*... | [
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text-generation | transformers |
# Uploaded model
- **Developed by:** cemt
- **License:** apache-2.0
- **Finetuned from model :** unsloth/llama-3-8b-bnb-4bit
This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl", "sft"], "base_model": "unsloth/llama-3-8b-bnb-4bit"} | cemt/Alpaca-llama-3-8b-bnb-16bit | null | [
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"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-29T13:47:22+00:00 | [] | [
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|
# Uploaded model
- Developed by: cemt
- License: apache-2.0
- Finetuned from model : unsloth/llama-3-8b-bnb-4bit
This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
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text-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. -->
# ellis-v4-emotion-leadership-multi-label
This model is a fine-tuned version of [microsoft/deberta-v3-small](https://huggingface.c... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["accuracy", "f1", "precision", "recall"], "base_model": "microsoft/deberta-v3-small", "model-index": [{"name": "ellis-v4-emotion-leadership-multi-label", "results": []}]} | gsl22/ellis-v4-emotion-leadership-multi-label | null | [
"transformers",
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"safetensors",
"deberta-v2",
"text-classification",
"generated_from_trainer",
"base_model:microsoft/deberta-v3-small",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-29T13:49:23+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #deberta-v2 #text-classification #generated_from_trainer #base_model-microsoft/deberta-v3-small #license-mit #autotrain_compatible #endpoints_compatible #region-us
| ellis-v4-emotion-leadership-multi-label
=======================================
This model is a fine-tuned version of microsoft/deberta-v3-small on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0000
* Accuracy: 1.0
* F1: 1.0
* Precision: 1.0
* Recall: 1.0
Model description
-... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 3\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: 2",
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text-generation | transformers |
## モデル
- ベースモデル：[ryota39/llm-jp-1b-sft-2M](https://huggingface.co/ryota39/llm-jp-1b-sft-2M)
- 学習データセット：[ryota39/dpo-ja-194k](https://huggingface.co/datasets/ryota39/dpo-ja-194k)
- 学習方式：フルパラメータチューニング
## サンプル
```python
import torch
from transformers import AutoTokenizer, AutoModelForCausalLM
tokenizer = AutoTokeniz... | {"language": ["ja"], "license": "cc", "library_name": "transformers", "tags": ["dpo"], "datasets": ["ryota39/dpo-ja-194k"]} | ryota39/llm-jp-1b-sft-2M-dpo-194k | null | [
"transformers",
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"gpt2",
"text-generation",
"dpo",
"ja",
"dataset:ryota39/dpo-ja-194k",
"license:cc",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-29T13:53:28+00:00 | [] | [
"ja"
] | TAGS
#transformers #safetensors #gpt2 #text-generation #dpo #ja #dataset-ryota39/dpo-ja-194k #license-cc #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
## モデル
- ベースモデル：ryota39/llm-jp-1b-sft-2M
- 学習データセット：ryota39/dpo-ja-194k
- 学習方式：フルパラメータチューニング
## サンプル
## 出力例
## 謝辞
本成果は【LOCAL AI HACKATHON #001】240時間ハッカソンの成果です。
運営の方々に深く御礼申し上げます。
- 【メタデータラボ株式会社】様
- 【AI声づくり技術研究会】
- サーバー主：やなぎ(Yanagi)様
- 【ローカルLLMに向き合う会】
- サーバー主：saldra(サルドラ)様
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automatic-speech-recognition | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# whisper-bambara-asr-002
This model is a fine-tuned version of [oza75/whisper-bambara-asr-002](https://huggingface.co/oza75/whisp... | {"language": ["bm"], "license": "apache-2.0", "library_name": "transformers", "tags": ["generated_from_trainer"], "datasets": ["oza75/bambara-asr"], "metrics": ["wer"], "base_model": "oza75/whisper-bambara-asr-002", "model-index": [{"name": "whisper-bambara-asr-002", "results": []}]} | oza75/whisper-bambara-asr-002 | null | [
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| whisper-bambara-asr-002
=======================
This model is a fine-tuned version of oza75/whisper-bambara-asr-002 on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 1.3643
* Wer: 53.2541
Model description
-----------------
More information needed
Intended uses & limitati... | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | shallow6414/zpc4hwy | null | [
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# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-generation | transformers |
<!-- 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. -->
# HPY_gpt2_vB.0
This model is a fine-tuned version of [ClassCat/gpt2-base-french](https://huggingface.co/ClassCat/gpt2-base-french... | {"license": "cc-by-sa-4.0", "tags": ["generated_from_trainer"], "model-index": [{"name": "HPY_gpt2_vB.0", "results": []}]} | azizkt/HPY_gpt2_vB.0 | null | [
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| HPY\_gpt2\_vB.0
===============
This model is a fine-tuned version of ClassCat/gpt2-base-french on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 1.7503
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
Mor... | [
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null | null | # Mistral-7B-CrewAI Model
This repository provides the capability to invoke the model locally. For detailed usage, you can refer to the GitHub repository linked below.
## Repository Link
[Visit the GitHub repository](https://github.com/nickcom007/AutoTx/tree/main) for more details on how to use this model locally.
#... | {} | flock-io/Mistral-7B-CrewAI | null | [
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#gguf #region-us
| # Mistral-7B-CrewAI Model
This repository provides the capability to invoke the model locally. For detailed usage, you can refer to the GitHub repository linked below.
## Repository Link
Visit the GitHub repository for more details on how to use this model locally.
## How to Use
To use this model, follow the instruc... | [
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | HenryCai1129/adapter-llama-adapterhappy2sad-1k-search-3iter-50-0.003 | null | [
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-generation | transformers |
# 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": []} | GamblerOnTrain/CAWD291 | null | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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token-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# my_ner_model
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on ... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["precision", "recall", "f1", "accuracy"], "base_model": "distilbert-base-uncased", "model-index": [{"name": "my_ner_model", "results": []}]} | amrita06/my_ner_model | null | [
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| my\_ner\_model
==============
This model is a fine-tuned version of distilbert-base-uncased on an unknown dataset.
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* Loss: 0.2693
* Precision: 0.5742
* Recall: 0.3336
* F1: 0.4220
* Accuracy: 0.9416
Model description
-----------------
More information nee... | [
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text-generation | transformers | <!-- header start -->
<!-- 200823 -->
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<a href="https://www.pruna.ai/" target="_blank" rel="noopener noreferrer">
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![Twitter](URL
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fill-mask | transformers |
# DRAGON RoBERTa base domain-specific
Pretrained model on Dutch clinical reports using a masked language modeling (MLM) objective. It was introduced in [this](#pending) paper. The model was pretrained using domain-specific data (i.e., clinical reports) from scratch. The architecture is the same as [`xlm-roberta-... | {"license": "cc-by-nc-sa-4.0"} | joeranbosma/dragon-roberta-base-domain-specific | null | [
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| DRAGON RoBERTa base domain-specific
===================================
Pretrained model on Dutch clinical reports using a masked language modeling (MLM) objective. It was introduced in this paper. The model was pretrained using domain-specific data (i.e., clinical reports) from scratch. The architecture is the same ... | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | cilantro9246/pr83cw7 | null | [
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# Model Card for Model ID
## Model Details
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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null | 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. -->
[<img src="https://raw.githubusercontent.com/OpenAccess-AI-Collective/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axo... | {"license": "other", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "meta-llama/Meta-Llama-3-8B", "model-index": [{"name": "lora-out", "results": []}]} | kloodia/lora-8b-bio | null | [
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| <img src="URL alt="Built with Axolotl" width="200" height="32"/>
See axolotl config
axolotl version: '0.4.0'
lora-out
========
This model is a fine-tuned version of meta-llama/Meta-Llama-3-8B on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 1.7317
Model description
---... | [
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
[<img src="https://raw.githubusercontent.com/OpenAccess-AI-Collective/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axo... | {"license": "other", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "meta-llama/Meta-Llama-3-8B", "model-index": [{"name": "lora-out-math", "results": []}]} | kloodia/lora-8b-math | null | [
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| <img src="URL alt="Built with Axolotl" width="200" height="32"/>
See axolotl config
axolotl version: '0.4.0'
lora-out-math
=============
This model is a fine-tuned version of meta-llama/Meta-Llama-3-8B on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 1.0946
Model descr... | [
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text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# HPY_gpt2_vB.1
This model is a fine-tuned version of [ClassCat/gpt2-base-french](https://huggingface.co/ClassCat/gpt2-base-french... | {"license": "cc-by-sa-4.0", "tags": ["generated_from_trainer"], "model-index": [{"name": "HPY_gpt2_vB.1", "results": []}]} | azizkt/HPY_gpt2_vB.1 | null | [
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| HPY\_gpt2\_vB.1
===============
This model is a fine-tuned version of ClassCat/gpt2-base-french on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 1.6582
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
Mor... | [
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text-generation | transformers | <!-- header start -->
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![Twitter](URL
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text-classification | transformers | ## TextAttack Model Card
This `albert` model was fine-tuned using TextAttack. The model was fine-tuned
for 3 epochs with a batch size of 8,
a maximum sequence length of 512, and an initial learning rate of 3e-05.
Since this was a classification task, the model was train... | {"language": ["zh"], "license": "apache-2.0", "metrics": ["accuracy"], "pipeline_tag": "text-classification"} | WangA/albert-base-finetuned-ctrip | null | [
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| ## TextAttack Model Card
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# gemma-2b-dpo
This model is a fine-tuned version of [google/gemma-2b](https://huggingface.co/google/gemma-2b) on an unknown datas... | {"license": "gemma", "library_name": "peft", "tags": ["trl", "dpo", "unsloth", "generated_from_trainer"], "base_model": "google/gemma-2b", "model-index": [{"name": "gemma-2b-dpo", "results": []}]} | DuongTrongChi/gemma-2b-dpo | null | [
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|
# gemma-2b-dpo
This model is a fine-tuned version of google/gemma-2b on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | shallow6414/o6vmsz7 | null | [
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text-to-image | diffusers |
# SDXL LoRA DreamBooth - aarashfeizi/jean-francois-godbout-batch4-repeats4-rank8-snrNone
<Gallery />
## Model description
### These are aarashfeizi/jean-francois-godbout-batch4-repeats4-rank8-snrNone LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0.
## Download model
### Use it with UIs such as ... | {"license": "openrail++", "tags": ["stable-diffusion-xl", "stable-diffusion-xl-diffusers", "diffusers-training", "text-to-image", "diffusers", "lora", "template:sd-lora"], "widget": [{"text": "A photo of <s0><s1> giving a speech", "output": {"url": "image_0.png"}}, {"text": "A photo of <s0><s1> giving a speech", "outpu... | aarashfeizi/jean-francois-godbout-batch4-repeats4-rank8-snrNone | null | [
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|
# SDXL LoRA DreamBooth - aarashfeizi/jean-francois-godbout-batch4-repeats4-rank8-snrNone
<Gallery />
## Model description
### These are aarashfeizi/jean-francois-godbout-batch4-repeats4-rank8-snrNone LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0.
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text-classification | setfit |
# SetFit with sentence-transformers/paraphrase-mpnet-base-v2
This is a [SetFit](https://github.com/huggingface/setfit) model that can be used for Text Classification. This SetFit model uses [sentence-transformers/paraphrase-mpnet-base-v2](https://huggingface.co/sentence-transformers/paraphrase-mpnet-base-v2) as the S... | {"library_name": "setfit", "tags": ["setfit", "sentence-transformers", "text-classification", "generated_from_setfit_trainer"], "metrics": ["accuracy"], "base_model": "sentence-transformers/paraphrase-mpnet-base-v2", "widget": [{"text": "BI 8U-Q10-AP6X2-V1131 SENSOR QUICK DISCO"}, {"text": "48-08-0551 FOLDING MITRE SAW... | amitprgx/setfit-categorization | null | [
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| SetFit with sentence-transformers/paraphrase-mpnet-base-v2
==========================================================
This is a SetFit model that can be used for Text Classification. This SetFit model uses sentence-transformers/paraphrase-mpnet-base-v2 as the Sentence Transformer embedding model. A OneVsRestClassifie... | [
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token-classification | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | Ornelas7/model-token-classification-bert-base-NER | null | [
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#transformers #safetensors #bert #token-classification #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | quickstep3621/qnkumwv | null | [
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# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-generation | transformers |
# 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": []} | quickstep3621/4pz3n98 | null | [
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# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-generation | transformers |
# Model Trained Using AutoTrain
This model was trained using AutoTrain. For more information, please visit [AutoTrain](https://hf.co/docs/autotrain).
# Usage
```python
from transformers import AutoModelForCausalLM, AutoTokenizer
model_path = "PATH_TO_THIS_REPO"
tokenizer = AutoTokenizer.from_pretrained(model_pat... | {"license": "other", "library_name": "transformers", "tags": ["autotrain", "text-generation-inference", "text-generation", "peft"], "widget": [{"messages": [{"role": "user", "content": "What is your favorite condiment?"}]}]} | abhishek/autotrain-llama3-oh-sft-v0-3 | null | [
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#transformers #tensorboard #safetensors #llama #text-generation #autotrain #text-generation-inference #peft #conversational #license-other #autotrain_compatible #endpoints_compatible #region-us
|
# Model Trained Using AutoTrain
This model was trained using AutoTrain. For more information, please visit AutoTrain.
# Usage
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | quickstep3621/xwpjcq4 | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- License... | [
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token-classification | flair |
## HunFlair2 model for ENHANCER
[HunFlair](https://github.com/flairNLP/flair/blob/master/resources/docs/HUNFLAIR2.md) (biomedical flair) for enhancer entity:
- pre-trained language model: michiyasunaga/BioLinkBERT-base
- fine-tuned on RegEl corpus for `Enhancer` entity type
Predicts 1 tag:
| **tag** | **meaning**... | {"language": "en", "tags": ["flair", "hunflair", "token-classification", "sequence-tagger-model"], "widget": [{"text": "Isolate an enhancer element located between -89 and -50 bp in PAI-1"}]} | regel-corpus/hunflair2-regel-enhancer | null | [
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#flair #pytorch #hunflair #token-classification #sequence-tagger-model #en #region-us
| HunFlair2 model for ENHANCER
----------------------------
HunFlair (biomedical flair) for enhancer entity:
* pre-trained language model: michiyasunaga/BioLinkBERT-base
* fine-tuned on RegEl corpus for 'Enhancer' entity type
Predicts 1 tag:
---
Info
----
### Demo: How to use in Flair
Requires:
* Flair... | [
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] |
automatic-speech-recognition | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | tgrhn/wav2vec2-turkish-300m-9 | null | [
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"tensorboard",
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"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
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#transformers #tensorboard #safetensors #wav2vec2 #automatic-speech-recognition #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- License... | [
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null | mlx |
# GreenBitAI/Llama-3-8B-instruct-layer-mix-bpw-4.0-mlx
This quantized low-bit model was converted to MLX format from [`GreenBitAI/Llama-3-8B-instruct-layer-mix-bpw-4.0`]().
Refer to the [original model card](https://huggingface.co/GreenBitAI/Llama-3-8B-instruct-layer-mix-bpw-4.0) for more details on the model.
## Use ... | {"license": "apache-2.0", "tags": ["mlx"]} | GreenBitAI/Llama-3-8B-instruct-layer-mix-bpw-4.0-mlx | null | [
"mlx",
"safetensors",
"llama",
"license:apache-2.0",
"region:us"
] | null | 2024-04-29T14:16:28+00:00 | [] | [] | TAGS
#mlx #safetensors #llama #license-apache-2.0 #region-us
|
# GreenBitAI/Llama-3-8B-instruct-layer-mix-bpw-4.0-mlx
This quantized low-bit model was converted to MLX format from ['GreenBitAI/Llama-3-8B-instruct-layer-mix-bpw-4.0']().
Refer to the original model card for more details on the model.
## Use with mlx
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null | null | # YuisekinAIEvol-Mistral-7B-ja-math-v0.1.1-gguf
[yuisekiさんが公開しているYuisekinAIEvol-Mistral-7B-ja-math-v0.1.1](https://huggingface.co/yuiseki/YuisekinAIEvol-Mistral-7B-ja-math-v0.1.1)のggufフォーマット変換版です。
imatrixのデータは[TFMC/imatrix-dataset-for-japanese-llm](https://huggingface.co/datasets/TFMC/imatrix-dataset-for-japanese-llm... | {"language": ["en", "ja"], "license": "apache-2.0", "datasets": ["TFMC/imatrix-dataset-for-japanese-llm"]} | mmnga/YuisekinAIEvol-Mistral-7B-ja-math-v0.1.1-gguf | null | [
"gguf",
"en",
"ja",
"dataset:TFMC/imatrix-dataset-for-japanese-llm",
"license:apache-2.0",
"region:us"
] | null | 2024-04-29T14:18:07+00:00 | [] | [
"en",
"ja"
] | TAGS
#gguf #en #ja #dataset-TFMC/imatrix-dataset-for-japanese-llm #license-apache-2.0 #region-us
| # YuisekinAIEvol-Mistral-7B-ja-math-v0.1.1-gguf
yuisekiさんが公開しているYuisekinAIEvol-Mistral-7B-ja-math-v0.1.1のggufフォーマット変換版です。
imatrixのデータはTFMC/imatrix-dataset-for-japanese-llmを使用して作成しました。
## Usage
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] |
text-classification | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | Lakshit11/bert-16-categories_with_others | null | [
"transformers",
"safetensors",
"bert",
"text-classification",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
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"1910.09700"
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#transformers #safetensors #bert #text-classification #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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text-generation | transformers | <!-- header start -->
<!-- 200823 -->
<div style="width: auto; margin-left: auto; margin-right: auto">
<a href="https://www.pruna.ai/" target="_blank" rel="noopener noreferrer">
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![Twitter](URL
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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feature-extraction | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# HPY_gpt2_vB.2
This model is a fine-tuned version of [ClassCat/gpt2-base-french](https://huggingface.co/ClassCat/gpt2-base-french... | {"license": "cc-by-sa-4.0", "tags": ["generated_from_trainer"], "model-index": [{"name": "HPY_gpt2_vB.2", "results": []}]} | azizkt/HPY_gpt2_vB.2 | null | [
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| HPY\_gpt2\_vB.2
===============
This model is a fine-tuned version of ClassCat/gpt2-base-french on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 1.5851
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
Mor... | [
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token-classification | flair |
## HunFlair2 model for PROMOTER
[HunFlair](https://github.com/flairNLP/flair/blob/master/resources/docs/HUNFLAIR2.md) (biomedical flair) for enhancer entity:
- pre-trained language model: michiyasunaga/BioLinkBERT-base
- fine-tuned on RegEl corpus for `Promoter` entity type
Predicts 1 tag:
| **tag** | **meaning**... | {"language": "en", "tags": ["flair", "hunflair", "token-classification", "sequence-tagger-model"], "widget": [{"text": "Two putative extended promoters consensus sequences (p1 and p2)."}]} | regel-corpus/hunflair2-regel-promoter | null | [
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| HunFlair2 model for PROMOTER
----------------------------
HunFlair (biomedical flair) for enhancer entity:
* pre-trained language model: michiyasunaga/BioLinkBERT-base
* fine-tuned on RegEl corpus for 'Promoter' entity type
Predicts 1 tag:
---
Info
----
### Demo: How to use in Flair
Requires:
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null | transformers |
# Uploaded model
- **Developed by:** robgonsalves
- **License:** apache-2.0
- **Finetuned from model :** unsloth/llama-3-8b-Instruct-bnb-4bit
This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslo... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "gguf"], "base_model": "unsloth/llama-3-8b-Instruct-bnb-4bit"} | robgonsalves/fan-fabler-gguf | null | [
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|
# Uploaded model
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text-generation | transformers | <!-- header start -->
<!-- 200823 -->
<div style="width: auto; margin-left: auto; margin-right: auto">
<a href="https://www.pruna.ai/" target="_blank" rel="noopener noreferrer">
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<img src="https://i.URL alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
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![Twitter](URL
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null | null | The trained models for https://github.com/pastelite/game_detection_ai | {"license": "creativeml-openrail-m"} | pastelite/game-classification | null | [
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# Mistral-7B-Instruct-spider
This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.2](https://huggingface.co/mis... | {"license": "apache-2.0", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "datasets": ["generator"], "base_model": "mistralai/Mistral-7B-Instruct-v0.2", "model-index": [{"name": "Mistral-7B-Instruct-spider", "results": []}]} | VictorDCh/Mistral-7B-Instruct-spider | null | [
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|
# Mistral-7B-Instruct-spider
This model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.2 on the generator dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
##... | [
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token-classification | flair |
## HunFlair2 model for TFBS
[HunFlair](https://github.com/flairNLP/flair/blob/master/resources/docs/HUNFLAIR2.md) (biomedical flair) for enhancer entity:
- pre-trained language model: michiyasunaga/BioLinkBERT-base
- fine-tuned on RegEl corpus for `Tfbs` entity type
Predicts 1 tag:
| **tag** | **meaning** ... | {"language": "en", "tags": ["flair", "hunflair", "token-classification", "sequence-tagger-model"], "widget": [{"text": "It contains a functional GCGGCGGCG Egr-1-binding site"}]} | regel-corpus/hunflair2-regel-tfbs | null | [
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"en"
] | TAGS
#flair #pytorch #hunflair #token-classification #sequence-tagger-model #en #region-us
| HunFlair2 model for TFBS
------------------------
HunFlair (biomedical flair) for enhancer entity:
* pre-trained language model: michiyasunaga/BioLinkBERT-base
* fine-tuned on RegEl corpus for 'Tfbs' entity type
Predicts 1 tag:
---
Info
----
### Demo: How to use in Flair
Requires:
* Flair>=0.14.0 ('p... | [
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] |
text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | shallow6414/r818q55 | null | [
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#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.
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- Funded by [optional]:
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null | null | # ryota39-Phi-3-mini-4k-instruct-dpo-gguf
[ryota39さんが公開しているPhi-3-mini-4k-instruct-dpo](https://huggingface.co/ryota39/Phi-3-mini-4k-instruct-dpo)のggufフォーマット変換版です。
imatrixのデータは[TFMC/imatrix-dataset-for-japanese-llm](https://huggingface.co/datasets/TFMC/imatrix-dataset-for-japanese-llm)を使用して作成しました。
## Usage
```
gi... | {"language": ["en", "ja"], "license": "mit", "datasets": ["TFMC/imatrix-dataset-for-japanese-llm"]} | mmnga/ryota39-Phi-3-mini-4k-instruct-dpo-gguf | null | [
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#gguf #en #ja #dataset-TFMC/imatrix-dataset-for-japanese-llm #license-mit #region-us
| # ryota39-Phi-3-mini-4k-instruct-dpo-gguf
ryota39さんが公開しているPhi-3-mini-4k-instruct-dpoのggufフォーマット変換版です。
imatrixのデータはTFMC/imatrix-dataset-for-japanese-llmを使用して作成しました。
## Usage
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text-generation | transformers | <!-- header start -->
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text-generation | transformers | <!-- header start -->
<!-- 200823 -->
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null | transformers |
# Uploaded model
- **Developed by:** SubashNeupane
- **License:** apache-2.0
- **Finetuned from model :** unsloth/llama-3-8b-Instruct-bnb-4bit
This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unsl... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl"], "base_model": "unsloth/llama-3-8b-Instruct-bnb-4bit"} | SubashNeupane/llama-3-8b-Instruct-bnb-4bit-medicalQA2 | null | [
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# Uploaded model
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<img src="URL width="200"/>
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | rbgo/infer-Llama-3-8B | null | [
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# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-generation | transformers | <!-- header start -->
<!-- 200823 -->
<div style="width: auto; margin-left: auto; margin-right: auto">
<a href="https://www.pruna.ai/" target="_blank" rel="noopener noreferrer">
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text-generation | transformers | <!-- header start -->
<!-- 200823 -->
<div style="width: auto; margin-left: auto; margin-right: auto">
<a href="https://www.pruna.ai/" target="_blank" rel="noopener noreferrer">
<img src="https://i.imgur.com/eDAlcgk.png" alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
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text-classification | transformers | ## TextAttack Model Card
This `distilbert` model was fine-tuned using TextAttack. The model was fine-tuned
for 3 epochs with a batch size of 8,
a maximum sequence length of 512, and an initial learning rate of 3e-05.
Since this was a classification task, the model was t... | {"language": ["zh"], "license": "apache-2.0", "metrics": ["accuracy"], "pipeline_tag": "text-classification"} | WangA/distilbert-base-finetuned-ctrip | null | [
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#transformers #safetensors #distilbert #text-classification #zh #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
| ## TextAttack Model Card
This 'distilbert' model was fine-tuned using TextAttack. The model was fine-tuned
for 3 epochs with a batch size of 8,
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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_synDB_plus
This model is a fine-tuned version of [Donut01/donut_synDB_wplus](https://huggingface.co/Donut01/donut_synDB_wp... | {"license": "mit", "tags": ["generated_from_trainer"], "datasets": ["imagefolder"], "base_model": "Donut01/donut_synDB_wplus", "model-index": [{"name": "donut_synDB_plus", "results": []}]} | Donut01/donut_synDB_plus | null | [
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| donut\_synDB\_plus
==================
This model is a fine-tuned version of Donut01/donut\_synDB\_wplus on the imagefolder dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0612
Model description
-----------------
More information needed
Intended uses & limitations
------------------... | [
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text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# 0.001_2iters_bs256_nodpo_full6w_iter_2
This model is a fine-tuned version of [ShenaoZhang/0.001_2iters_bs256_nodpo_full6w_iter_1... | {"license": "mit", "tags": ["alignment-handbook", "generated_from_trainer", "trl", "dpo", "generated_from_trainer"], "datasets": ["updated", "original"], "base_model": "ShenaoZhang/0.001_2iters_bs256_nodpo_full6w_iter_1", "model-index": [{"name": "0.001_2iters_bs256_nodpo_full6w_iter_2", "results": []}]} | ShenaoZhang/0.001_2iters_bs256_nodpo_full6w_iter_2 | null | [
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# 0.001_2iters_bs256_nodpo_full6w_iter_2
This model is a fine-tuned version of ShenaoZhang/0.001_2iters_bs256_nodpo_full6w_iter_1 on the updated and the original datasets.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
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reinforcement-learning | stable-baselines3 |
# **DQN** Agent playing **SpaceInvadersNoFrameskip-v4**
This is a trained model of a **DQN** agent playing **SpaceInvadersNoFrameskip-v4**
using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3)
and the [RL Zoo](https://github.com/DLR-RM/rl-baselines3-zoo).
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# DQN Agent playing SpaceInvadersNoFrameskip-v4
This is a trained model of a DQN agent playing SpaceInvadersNoFrameskip-v4
using the stable-baselines3 library
and the RL Zoo.
The RL Zoo is a training framework for Stable Baselines3
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text-generation | transformers |
# Model Trained Using AutoTrain
This model was trained using AutoTrain. For more information, please visit [AutoTrain](https://hf.co/docs/autotrain).
# Usage
```python
from transformers import AutoModelForCausalLM, AutoTokenizer
model_path = "PATH_TO_THIS_REPO"
tokenizer = AutoTokenizer.from_pretrained(model_pat... | {"license": "other", "library_name": "transformers", "tags": ["autotrain", "text-generation-inference", "text-generation", "peft"], "widget": [{"messages": [{"role": "user", "content": "What is your favorite condiment?"}]}]} | usr-bin-ksh/gsn-sh-kolama-finetune2 | null | [
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# Model Trained Using AutoTrain
This model was trained using AutoTrain. For more information, please visit AutoTrain.
# Usage
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | shallow6414/dwr97r8 | null | [
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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"]} | mendozalopez/adventuretime | null | [
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token-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# training_with_callbacks
This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distil... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["precision", "recall", "f1", "accuracy"], "base_model": "distilbert/distilbert-base-uncased", "model-index": [{"name": "training_with_callbacks", "results": []}]} | cria111/training_with_callbacks | null | [
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| training\_with\_callbacks
=========================
This model is a fine-tuned version of distilbert/distilbert-base-uncased on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1529
* Precision: 0.4993
* Recall: 0.5397
* F1: 0.5187
* Accuracy: 0.9661
Model description
---------... | [
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sentence-similarity | sentence-transformers |
# {MODEL_NAME}
This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 1024 dimensional dense vector space and can be used for tasks like clustering or semantic search.
<!--- Describe your model here -->
## Usage (Sentence-Transformers)
Using this model becomes easy when... | {"library_name": "sentence-transformers", "tags": ["sentence-transformers", "feature-extraction", "sentence-similarity", "transformers"], "pipeline_tag": "sentence-similarity"} | nhinbm/recruit_finetune | null | [
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text-to-image | diffusers |
# SDXL LoRA DreamBooth - aarashfeizi/jean-francois-godbout-batch4-repeats4-rank32-snr5.0
<Gallery />
## Model description
### These are aarashfeizi/jean-francois-godbout-batch4-repeats4-rank32-snr5.0 LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0.
## Download model
### Use it with UIs such as ... | {"license": "openrail++", "tags": ["stable-diffusion-xl", "stable-diffusion-xl-diffusers", "diffusers-training", "text-to-image", "diffusers", "lora", "template:sd-lora"], "widget": [{"text": "A photo of <s0><s1> giving a speech", "output": {"url": "image_0.png"}}, {"text": "A photo of <s0><s1> giving a speech", "outpu... | aarashfeizi/jean-francois-godbout-batch4-repeats4-rank32-snr5.0 | null | [
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|
# SDXL LoRA DreamBooth - aarashfeizi/jean-francois-godbout-batch4-repeats4-rank32-snr5.0
<Gallery />
## Model description
### These are aarashfeizi/jean-francois-godbout-batch4-repeats4-rank32-snr5.0 LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0.
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null | peft |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
- **Developed by:** [More Information Needed]
- **Funded by [optional]:** [More Information Needed]
- **Shared by [optional]:** ... | {"library_name": "peft", "base_model": "Universal-NER/UniNER-7B-type"} | jc80622/unilora_sec151_populated | null | [
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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"]} | Ronicola/cardSorter | null | [
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#fastai #region-us #has_space
|
# 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 ... | [
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"TAGS\n#fastai #region-us #has_space \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... |
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