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image-classification | timm | # Model card for stanford_dogs-resnet50
| {"license": "apache-2.0", "library_name": "timm", "tags": ["image-classification", "timm"]} | anonauthors/stanford_dogs-resnet50 | null | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | jaban/gemma_spelling_check | null | [
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# Model Card for Model ID
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image-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": []} | anonauthors/stanford_dogs-ViT-b32 | null | [
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image-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": []} | anonauthors/stanford_dogs-ConvNeXt-base | null | [
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image-classification | timm | # Model card for cifar10-resnet50
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image-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": []} | anonauthors/cifar10-ViT-b32 | null | [
"transformers",
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"vit",
"image-classification",
"arxiv:1910.09700",
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"1910.09700"
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#transformers #safetensors #vit #image-classification #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #region-us
|
# Model Card for Model ID
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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image-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": []} | anonauthors/cifar10-ConvNeXt-base | null | [
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image-classification | timm | # Model card for cifar100-resnet50
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image-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": []} | anonauthors/cifar100-ViT-b32 | null | [
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image-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. -->
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image-classification | timm | # Model card for dtd-resnet50
| {"license": "apache-2.0", "library_name": "timm", "tags": ["image-classification", "timm"]} | anonauthors/dtd-resnet50 | null | [
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text-generation | transformers |
```py
!python -m pip install --upgrade pip -q
!pip install -q accelerate safetensors deepspeed
!pip install -q bitsandbytes sentencepiece
!pip install -q scipy ninja -U
!pip install git+https://github.com/mobiusml/hqq/ transformers -U -q
```
```py
import transformers
print(transformers.__version__)
### output: 4... | {"language": ["en"], "license": "apache-2.0"} | NickyNicky/OpenHermes-2.5-Mistral-7B-nbits-4-group_size-128-HQQ | null | [
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"region:us"
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"en"
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#transformers #mistral #text-generation #conversational #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
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!image/png
## use gpu.
!image/png
## colab.
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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. -->
# multi_roberta_final
This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on an unknown data... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["accuracy", "f1"], "base_model": "roberta-base", "model-index": [{"name": "multi_roberta_final", "results": []}]} | gilmark123/multi_roberta_final | null | [
"transformers",
"tensorboard",
"safetensors",
"roberta",
"text-classification",
"generated_from_trainer",
"base_model:roberta-base",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
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|
# multi_roberta_final
This model is a fine-tuned version of roberta-base on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5678
- Accuracy: 0.7731
- F1: 0.7731
- Confusion Matrix: [[1199, 274, 44], [298, 1377, 253], [49, 263, 1448]]
## Model description
More information nee... | [
"# multi_roberta_final\n\nThis model is a fine-tuned version of roberta-base on an unknown dataset.\nIt achieves the following results on the evaluation set:\n- Loss: 0.5678\n- Accuracy: 0.7731\n- F1: 0.7731\n- Confusion Matrix: [[1199, 274, 44], [298, 1377, 253], [49, 263, 1448]]",
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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": []} | Shaleen123/Gemma-2B-4bit | null | [
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"text-generation",
"arxiv:1910.09700",
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- Funded by [optional]:
- Shared by [optional]:
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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. -->
# QURANIC Whisper Large V3
This model is a fine-tuned version of [openai/whisper-large-v3](https://huggingface.co/openai/whisper-l... | {"language": ["ar"], "license": "apache-2.0", "tags": ["hf-asr-leaderboard", "generated_from_trainer"], "datasets": ["ahishamm/whisperQURANIC"], "metrics": ["wer"], "base_model": "openai/whisper-large-v3", "model-index": [{"name": "QURANIC Whisper Large V3", "results": [{"task": {"type": "automatic-speech-recognition",... | ahishamm/finetuned-whisper-quranic-large-v3 | null | [
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| QURANIC Whisper Large V3
========================
This model is a fine-tuned version of openai/whisper-large-v3 on the whisperQURANIC dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0238
* Wer: 268.8141
Model description
-----------------
More information needed
Intended uses & lim... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 1e-05\n* train\\_batch\\_size: 8\n* eval\\_batch\\_size: 8\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* lr\\_scheduler\\_warmup\\_steps: ... | [
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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-base-sroie
This model is a fine-tuned version of [naver-clova-ix/donut-base](https://huggingface.co/naver-clova-ix/donut-b... | {"license": "mit", "tags": ["generated_from_trainer"], "datasets": ["imagefolder"], "base_model": "naver-clova-ix/donut-base", "model-index": [{"name": "donut-base-sroie", "results": []}]} | Satyakaam/donut-base-sroie | null | [
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"license:mit",
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"region:us"
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|
# donut-base-sroie
This model is a fine-tuned version of naver-clova-ix/donut-base on the imagefolder dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperp... | [
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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. -->
# AraBERT_token_classification__AraEval24_merged_rassd_fixed
This model is a fine-tuned version of [aubmindlab/bert-base-arabert](... | {"tags": ["generated_from_trainer"], "metrics": ["precision", "recall", "f1", "accuracy"], "model-index": [{"name": "AraBERT_token_classification__AraEval24_merged_rassd_fixed", "results": []}]} | MM2157/AraBERT_token_classification__AraEval24_merged_rassd_fixed | null | [
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| AraBERT\_token\_classification\_\_AraEval24\_merged\_rassd\_fixed
=================================================================
This model is a fine-tuned version of aubmindlab/bert-base-arabert on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.8835
* Precision: 0.0974
* Re... | [
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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": []} | TheRightHomeCareTeam/Sulis-7B-MedicalQA-v1a | null | [
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"endpoints_compatible",
"region:us"
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"1910.09700"
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
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text-generation | transformers |
```py
!python -m pip install --upgrade pip -q
!pip install -q accelerate safetensors deepspeed
!pip install -q bitsandbytes sentencepiece
!pip install -q scipy ninja -U
!pip install git+https://github.com/mobiusml/hqq/ transformers -U -q
```
```py
import transformers
print(transformers.__version__)
### output: 4... | {"language": ["en"], "license": "apache-2.0"} | NickyNicky/dolphin-2.8-mistral-7b-v02-nbits-4-group_size-128-HQQ | null | [
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"text-generation",
"conversational",
"en",
"license:apache-2.0",
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"region:us"
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"en"
] | TAGS
#transformers #mistral #text-generation #conversational #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
!image/png
## use gpu.
!image/png
## colab.
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"## colab."
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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. -->
# AraBERT_token_classification__AraEval24_merged_rassd_aratweets_fixed
This model is a fine-tuned version of [aubmindlab/bert-base... | {"tags": ["generated_from_trainer"], "metrics": ["precision", "recall", "f1", "accuracy"], "model-index": [{"name": "AraBERT_token_classification__AraEval24_merged_rassd_aratweets_fixed", "results": []}]} | MM2157/AraBERT_token_classification__AraEval24_merged_rassd_aratweets_fixed | null | [
"transformers",
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"bert",
"token-classification",
"generated_from_trainer",
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#transformers #pytorch #bert #token-classification #generated_from_trainer #autotrain_compatible #endpoints_compatible #region-us
| AraBERT\_token\_classification\_\_AraEval24\_merged\_rassd\_aratweets\_fixed
============================================================================
This model is a fine-tuned version of aubmindlab/bert-base-arabert on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.8307
* ... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-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: 10",
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sentence-similarity | sentence-transformers |
# kardy04/plugin-embedding-sts
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 model be... | {"library_name": "sentence-transformers", "tags": ["sentence-transformers", "feature-extraction", "sentence-similarity", "transformers"], "pipeline_tag": "sentence-similarity"} | kardy04/plugin-embedding-sts | null | [
"sentence-transformers",
"safetensors",
"roberta",
"feature-extraction",
"sentence-similarity",
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"endpoints_compatible",
"region:us"
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|
# kardy04/plugin-embedding-sts
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 installed:
... | [
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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": []} | Muhammad2003/gemma-2b-CodeUltraFeedback-QLoRA | null | [
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"gemma",
"text-generation",
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"1910.09700"
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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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. -->
# gpt-neo-borges
This model is a fine-tuned version of [lucasbiagettia/gpt-neo-borges](https://huggingface.co/lucasbiagettia/gpt-n... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "lucasbiagettia/gpt-neo-borges", "model-index": [{"name": "gpt-neo-borges", "results": []}]} | lucasbiagettia/gpt-neo-borges | null | [
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"license:mit",
"autotrain_compatible",
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] | null | 2024-04-02T00:24:54+00:00 | [] | [] | TAGS
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|
# gpt-neo-borges
This model is a fine-tuned version of lucasbiagettia/gpt-neo-borges 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 hyperpara... | [
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text-classification | transformers | ## Model Card: CLF-SENTIMENTOS-CMTS finetuned XLM-RoBERTa
### Descrição:
O modelo clf-sentimentos-cmts representa aplicação de técnicas de aprendizado de máquina para tarefas específicas de processamento de linguagem natural (PLN), em particular, a classificação de sentimentos em textos extraídos de redes sociais em p... | {"license": "mit", "widget": [{"text": "Eu gostei muito daquele ator no filme.", "example_title": "Positivo"}, {"text": "Esse pol\u00edtico \u00e9 uma pessoa sem escr\u00fapulos.", "example_title": "Negativo"}]} | tbluhm/clf-sentimentos-cmts | null | [
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#transformers #tensorboard #safetensors #xlm-roberta #text-classification #license-mit #autotrain_compatible #endpoints_compatible #region-us
| Model Card: CLF-SENTIMENTOS-CMTS finetuned XLM-RoBERTa
------------------------------------------------------
### Descrição:
O modelo clf-sentimentos-cmts representa aplicação de técnicas de aprendizado de máquina para tarefas específicas de processamento de linguagem natural (PLN), em particular, a classificação d... | [
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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. -->
# distilgpt2-finetuned-wikitext2
This model is a fine-tuned version of [distilgpt2](https://huggingface.co/distilgpt2) on an unkno... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "distilgpt2", "model-index": [{"name": "distilgpt2-finetuned-wikitext2", "results": []}]} | RyanJT/distilgpt2-finetuned-wikitext2 | null | [
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| distilgpt2-finetuned-wikitext2
==============================
This model is a fine-tuned version of distilgpt2 on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 5.6329
Model description
-----------------
More information needed
Intended uses & limitations
----------------... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 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",
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sentence-similarity | sentence-transformers |
# kardy04/plugin-embedding-nli-sts
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", "transformers"], "pipeline_tag": "sentence-similarity"} | kardy04/plugin-embedding-nli-sts | null | [
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"safetensors",
"roberta",
"feature-extraction",
"sentence-similarity",
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"endpoints_compatible",
"region:us"
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#sentence-transformers #safetensors #roberta #feature-extraction #sentence-similarity #transformers #endpoints_compatible #region-us
|
# kardy04/plugin-embedding-nli-sts
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... | [
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reinforcement-learning | stable-baselines3 |
# **PPO** Agent playing **LunarLander-v2**
This is a trained model of a **PPO** agent playing **LunarLander-v2**
using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3).
## Usage (with Stable-baselines3)
TODO: Add your code
```python
from stable_baselines3 import ...
from huggingface_sb3 ... | {"library_name": "stable-baselines3", "tags": ["LunarLander-v2", "deep-reinforcement-learning", "reinforcement-learning", "stable-baselines3"], "model-index": [{"name": "PPO", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "LunarLander-v2", "type": "LunarL... | ch0t0n/ppo-LunarLander-v2-linux | null | [
"stable-baselines3",
"LunarLander-v2",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | null | 2024-04-02T00:35:25+00:00 | [] | [] | TAGS
#stable-baselines3 #LunarLander-v2 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
# PPO Agent playing LunarLander-v2
This is a trained model of a PPO agent playing LunarLander-v2
using the stable-baselines3 library.
## Usage (with Stable-baselines3)
TODO: Add your code
| [
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] |
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": []} | au2a/Mistral-7B-v0.1-tune | null | [
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"arxiv:1910.09700",
"endpoints_compatible",
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"1910.09700"
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#transformers #safetensors #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
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text-generation | transformers | #### This model has same weights with [Contamination/contaminated_proof_7b_v1.0](https://huggingface.co/Contamination/contaminated_proof_7b_v1.0)
# WARNING: Contamination
This model is TOTALLY CONTAMINATED, which made resulting model unreliable.
SO DO NOT USE THIS MODEL FOR ANY PURPOSE.
PLEASE ONLY USE FOR REFERENCE.
... | {"license": "unknown"} | Contamination/contaminated_proof_7b_v1.0_safetensor | null | [
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#transformers #safetensors #mistral #text-generation #conversational #license-unknown #autotrain_compatible #endpoints_compatible #has_space #text-generation-inference #region-us
| #### This model has same weights with Contamination/contaminated_proof_7b_v1.0
# WARNING: Contamination
This model is TOTALLY CONTAMINATED, which made resulting model unreliable.
SO DO NOT USE THIS MODEL FOR ANY PURPOSE.
PLEASE ONLY USE FOR REFERENCE.
This model is trained with ultrachat_200k data to have conversatio... | [
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text-to-image | null |
# LoRA model of Lakhesh Nyx Seniorious/ラキシュ・ニクス・セニオリス (Shuumatsu Nani Shitemasu Ka? Isogashii Desu Ka?)
## What Is This?
This is the LoRA model of waifu Lakhesh Nyx Seniorious/ラキシュ・ニクス・セニオリス (Shuumatsu Nani Shitemasu Ka? Isogashii Desu Ka?).
## How Is It Trained?
* This model is trained with [kohya-ss/sd-scripts](... | {"license": "mit", "tags": ["art", "not-for-all-audiences"], "datasets": ["CyberHarem/lakhesh_sukasuka", "BangumiBase/sukasuka"], "pipeline_tag": "text-to-image"} | CyberHarem/lakhesh_sukasuka | null | [
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"text-to-image",
"dataset:CyberHarem/lakhesh_sukasuka",
"dataset:BangumiBase/sukasuka",
"license:mit",
"region:us"
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#art #not-for-all-audiences #text-to-image #dataset-CyberHarem/lakhesh_sukasuka #dataset-BangumiBase/sukasuka #license-mit #region-us
| LoRA model of Lakhesh Nyx Seniorious/ラキシュ・ニクス・セニオリス (Shuumatsu Nani Shitemasu Ka? Isogashii Desu Ka?)
=====================================================================================================
What Is This?
-------------
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null | null | python generator, specialized in excel tasks | {"license": "mit"} | Jnaranjo/excelautomator | null | [
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"region:us"
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image-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": []} | areegtarek/siglip-nih-1 | null | [
"transformers",
"safetensors",
"siglip",
"image-classification",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-02T00:41:50+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #siglip #image-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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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": []} | OnAnOrange/mistral-7B-claude-test-examples-true-instruction-format | null | [
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# Model Card for Model ID
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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null | null |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# finetune_nasa
This model was trained from scratch on the None dataset.
## Model description
More information needed
## Intend... | {"tags": ["generated_from_trainer"], "model-index": [{"name": "finetune_nasa", "results": []}]} | hrangel/finetune_nasa | null | [
"pytorch",
"generated_from_trainer",
"region:us"
] | null | 2024-04-02T00:43:22+00:00 | [] | [] | TAGS
#pytorch #generated_from_trainer #region-us
|
# finetune_nasa
This model was trained from scratch on the None dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparamete... | [
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reinforcement-learning | stable-baselines3 |
# **A2C** Agent playing **PandaReachDense-v3**
This is a trained model of a **A2C** agent playing **PandaReachDense-v3**
using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3).
## Usage (with Stable-baselines3)
TODO: Add your code
```python
from stable_baselines3 import ...
from huggingf... | {"library_name": "stable-baselines3", "tags": ["PandaReachDense-v3", "deep-reinforcement-learning", "reinforcement-learning", "stable-baselines3"], "model-index": [{"name": "A2C", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "PandaReachDense-v3", "type":... | lbaeriswyl/a2c-PandaReachDense-v3 | null | [
"stable-baselines3",
"PandaReachDense-v3",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
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] | null | 2024-04-02T00:43:58+00:00 | [] | [] | TAGS
#stable-baselines3 #PandaReachDense-v3 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
# A2C Agent playing PandaReachDense-v3
This is a trained model of a A2C agent playing PandaReachDense-v3
using the stable-baselines3 library.
## Usage (with Stable-baselines3)
TODO: Add your code
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null | transformers | ## About
static quants of https://huggingface.co/mlabonne/Zebrafish-linear-7B
<!-- provided-files -->
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... | {"language": ["en"], "license": "cc-by-nc-4.0", "library_name": "transformers", "tags": ["merge", "mergekit", "lazymergekit"], "base_model": "mlabonne/Zebrafish-linear-7B", "quantized_by": "mradermacher"} | mradermacher/Zebrafish-linear-7B-GGUF | null | [
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| About
-----
static quants of URL
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
Usage
-----
If you are unsure how to use GGUF file... | [] | [
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text-to-image | diffusers |
# SDXL LoRA DreamBooth - linoyts/huggy_dora_v2_pivotal
<Gallery />
## Model description
### These are linoyts/huggy_dora_v2_pivotal LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0.
## Download model
### Use it with UIs such as AUTOMATIC1111, Comfy UI, SD.Next, Invoke
- **LoRA**: download **[`h... | {"license": "openrail++", "tags": ["stable-diffusion-xl", "stable-diffusion-xl-diffusers", "diffusers-training", "text-to-image", "diffusers", "dora", "template:sd-lora"], "widget": [{"text": "a <s0><s1> emoji dressed as an easter bunny", "output": {"url": "image_0.png"}}, {"text": "a <s0><s1> emoji dressed as an easte... | linoyts/huggy_dora_v2_pivotal | null | [
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"license:openrail++",
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#diffusers #stable-diffusion-xl #stable-diffusion-xl-diffusers #diffusers-training #text-to-image #dora #template-sd-lora #base_model-stabilityai/stable-diffusion-xl-base-1.0 #license-openrail++ #region-us
|
# SDXL LoRA DreamBooth - linoyts/huggy_dora_v2_pivotal
<Gallery />
## Model description
### These are linoyts/huggy_dora_v2_pivotal LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0.
## Download model
### Use it with UIs such as AUTOMATIC1111, Comfy UI, SD.Next, Invoke
- LoRA: download 'huggy_do... | [
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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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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]
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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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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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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": []} | SwimChoi/llama2-7b-alpaca-peft | null | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | lunarsylph/stablecell_v30 | null | [
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text-to-image | diffusers |
# LoRA DreamBooth - squaadinc/1712019272015x832667611185268900
These are LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0 trained on @fffiloni's SD-XL trainer.
The weights were trained on the concept prompt:
```
A photo of TOK
```
Use this keyword to trigger your custom model in your prompts.... | {"tags": ["stable-diffusion-xl", "stable-diffusion-xl-diffusers", "text-to-image", "diffusers", "lora"], "datasets": ["jamine23/jaminerubini"], "base_model": "stabilityai/stable-diffusion-xl-base-1.0", "instance_prompt": "A photo of TOK", "inference": false} | squaadinc/1712019272015x832667611185268900 | null | [
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# LoRA DreamBooth - squaadinc/1712019272015x832667611185268900
These are LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0 trained on @fffiloni's SD-XL trainer.
The weights were trained on the concept prompt:
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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. -->
# BitLlama2-jp-127M-optim-3
This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
It achieves t... | {"tags": ["generated_from_trainer"], "model-index": [{"name": "BitLlama2-jp-127M-optim-3", "results": []}]} | HachiML/BitLlama2-jp-127M-optim-3 | null | [
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| BitLlama2-jp-127M-optim-3
=========================
This model is a fine-tuned version of [](URL on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 3.3126
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0024\n* train\\_batch\\_size: 96\n* eval\\_batch\\_size: 96\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.95) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* lr\\_scheduler\\_warmup\\_steps... | [
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null | null | 41.4 <- Average 43.09 <- ARC 72.33 <- HellaSwag 26.74 <- MMLU 40.22 <- TruthfulQA 62.67 <- Winogrande 3.34 <- GSM8K | {"license": "apache-2.0"} | netcat420/MFANN3b-GGUF | null | [
"gguf",
"license:apache-2.0",
"region:us"
] | null | 2024-04-02T01:01:30+00:00 | [] | [] | TAGS
#gguf #license-apache-2.0 #region-us
| 41.4 <- Average 43.09 <- ARC 72.33 <- HellaSwag 26.74 <- MMLU 40.22 <- TruthfulQA 62.67 <- Winogrande 3.34 <- GSM8K | [] | [
"TAGS\n#gguf #license-apache-2.0 #region-us \n"
] | [
17
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"TAGS\n#gguf #license-apache-2.0 #region-us \n"
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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. -->
# finetuning-sentiment-model
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-bas... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy", "f1"], "base_model": "distilbert-base-uncased", "model-index": [{"name": "finetuning-sentiment-model", "results": []}]} | abhiramd22/finetuning-sentiment-model | null | [
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"text-classification",
"generated_from_trainer",
"base_model:distilbert-base-uncased",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-02T01:01:49+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
This model is a fine-tuned version of distilbert-base-uncased on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3653
- Accuracy: 0.86
- F1: 0.8598
## Model description
More information needed
## Intended uses & limitations
More information neede... | [
"# finetuning-sentiment-model\n\nThis model is a fine-tuned version of distilbert-base-uncased on the None dataset.\nIt achieves the following results on the evaluation set:\n- Loss: 0.3653\n- Accuracy: 0.86\n- F1: 0.8598",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMo... | [
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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. -->
# gpt-neo-125m-cs-finetuning-80000-2
This model is a fine-tuned version of [EleutherAI/gpt-neo-125m](https://huggingface.co/Eleuth... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "EleutherAI/gpt-neo-125m", "model-index": [{"name": "gpt-neo-125m-cs-finetuning-80000-2", "results": []}]} | KimByeongSu/gpt-neo-125m-cs-finetuning-80000-2 | null | [
"transformers",
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"safetensors",
"gpt_neo",
"text-generation",
"generated_from_trainer",
"base_model:EleutherAI/gpt-neo-125m",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-02T01:09:34+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #gpt_neo #text-generation #generated_from_trainer #base_model-EleutherAI/gpt-neo-125m #license-mit #autotrain_compatible #endpoints_compatible #region-us
| gpt-neo-125m-cs-finetuning-80000-2
==================================
This model is a fine-tuned version of EleutherAI/gpt-neo-125m on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 3.1803
Model description
-----------------
More information needed
Intended uses & limitatio... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-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 #gpt_neo #text-generation #generated_from_trainer #base_model-EleutherAI/gpt-neo-125m #license-mit #autotrain_compatible #endpoints_compatible #region-us \n",
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\... | [
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text-generation | transformers |
# Lets try this Mixtral thing because everyone likes MOE right?
[](https://drive.google.com/uc?export=view&id=1tRJDS9oHDgSDDC466soI3NXDzOLkucdQ)
## Experiemental Mermaid Model: 3x7B Mermaid Mixtral-3x7b
Lets see if its any goo... | {"license": "cc-by-4.0"} | TroyDoesAI/MermaidMixtral-3x7b | null | [
"transformers",
"safetensors",
"mixtral",
"text-generation",
"license:cc-by-4.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-02T01:09:45+00:00 | [] | [] | TAGS
#transformers #safetensors #mixtral #text-generation #license-cc-by-4.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Lets try this Mixtral thing because everyone likes MOE right?
![Chat Image](URL
## Experiemental Mermaid Model: 3x7B Mermaid Mixtral-3x7b
Lets see if its any good, this is 1 epoch of a synthetic dataset exclusively created using my dataset augmentation toolkit
using MermaidMistral 7B and MermaidSolar outputs at f... | [
"# Lets try this Mixtral thing because everyone likes MOE right?\n\n![Chat Image](URL",
"## Experiemental Mermaid Model: 3x7B Mermaid Mixtral-3x7b\nLets see if its any good, this is 1 epoch of a synthetic dataset exclusively created using my dataset augmentation toolkit \nusing MermaidMistral 7B and MermaidSolar ... | [
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"# Lets try this Mixtral thing because everyone likes MOE right?\n\n![Chat Image](URL",
"## Experiemental Mermaid Model: 3x7B Mermaid Mixtral-3x7b... | [
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"TAGS\n#transformers #safetensors #mixtral #text-generation #license-cc-by-4.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n# Lets try this Mixtral thing because everyone likes MOE right?\n\n![Chat Image](URL## Experiemental Mermaid Model: 3x7B Mermaid Mixtral-3x7b\nLets see i... |
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
This model is a fine-tuned version of [naver-clova-ix/donut-base](https://huggingface.co/naver-clova-ix/donut-b... | {"license": "mit", "tags": ["generated_from_trainer"], "datasets": ["imagefolder"], "base_model": "naver-clova-ix/donut-base", "model-index": [{"name": "donut-base-sroie", "results": []}]} | Ganges1/donut-base-sroie | 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 | 2024-04-02T01:14:04+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
This model is a fine-tuned version of naver-clova-ix/donut-base on the imagefolder dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperp... | [
"# donut-base-sroie\n\nThis model is a fine-tuned version of naver-clova-ix/donut-base on the imagefolder dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information needed",
"## Training proc... | [
"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",
"# donut-base-sroie\n\nThis model is a fine-tuned version of naver-clova-ix/donut-base on the imagefolder dat... | [
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reinforcement-learning | stable-baselines3 |
# **PPO** Agent playing **LunarLander-v2**
This is a trained model of a **PPO** agent playing **LunarLander-v2**
using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3).
## Usage (with Stable-baselines3)
TODO: Add your code
```python
from stable_baselines3 import ...
from huggingface_sb3 ... | {"library_name": "stable-baselines3", "tags": ["LunarLander-v2", "deep-reinforcement-learning", "reinforcement-learning", "stable-baselines3"], "model-index": [{"name": "PPO", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "LunarLander-v2", "type": "LunarL... | ch0t0n/ppo-LunarLander-v2-latest | null | [
"stable-baselines3",
"LunarLander-v2",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | null | 2024-04-02T01:14:45+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.",
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"## Usage (with Stable-baselines3)\nTODO: Add you... | [
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] |
null | transformers | ## About
static quants of https://huggingface.co/migtissera/Tess-2.0-Yi-34B-200K
<!-- provided-files -->
weighted/imatrix quants are available at https://huggingface.co/mradermacher/Tess-2.0-Yi-34B-200K-i1-GGUF
## Usage
If you are unsure how to use GGUF files, refer to one of [TheBloke's
READMEs](https://huggingface... | {"language": ["en"], "license": "other", "library_name": "transformers", "base_model": "migtissera/Tess-2.0-Yi-34B-200K", "license_link": "https://huggingface.co/01-ai/Yi-34B-200K/blob/main/LICENSE", "license_name": "yi-34b", "quantized_by": "mradermacher"} | mradermacher/Tess-2.0-Yi-34B-200K-GGUF | null | [
"transformers",
"gguf",
"en",
"base_model:migtissera/Tess-2.0-Yi-34B-200K",
"license:other",
"endpoints_compatible",
"region:us"
] | null | 2024-04-02T01:15:13+00:00 | [] | [
"en"
] | TAGS
#transformers #gguf #en #base_model-migtissera/Tess-2.0-Yi-34B-200K #license-other #endpoints_compatible #region-us
| About
-----
static quants of URL
weighted/imatrix 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-migtissera/Tess-2.0-Yi-34B-200K #license-other #endpoints_compatible #region-us \n"
] | [
45
] | [
"TAGS\n#transformers #gguf #en #base_model-migtissera/Tess-2.0-Yi-34B-200K #license-other #endpoints_compatible #region-us \n"
] |
text-generation | transformers |
# Swallow-MoE-4x7B-lisa
## 概要
[tokyotech-llm/Swallow-7b-hf](https://huggingface.co/tokyotech-llm/Swallow-7b-hf)をベースに、以下の4モデルをgate_mode=randomでMoEし、その後[LISA](https://arxiv.org/abs/2403.17919)という手法でインストラクションチューニングを施したモデルです。
- [tokyotech-llm/Swallow-7b-instruct-hf](https://huggingface.co/tokyotech-llm/Swallow-7b-instru... | {"language": ["ja"], "license": "cc-by-nc-sa-4.0", "library_name": "transformers", "tags": ["merge", "moe", "lisa"], "datasets": ["kunishou/amenokaku-code-instruct", "llm-jp/oasst1-21k-en", "hieunguyenminh/roleplay", "meta-math/MetaMathQA", "kunishou/jp-effective-instructions"], "base_model": ["tokyotech-llm/Swallow-7b... | Aratako/Swallow-MoE-4x7B-lisa | null | [
"transformers",
"safetensors",
"mixtral",
"text-generation",
"merge",
"moe",
"lisa",
"ja",
"dataset:kunishou/amenokaku-code-instruct",
"dataset:llm-jp/oasst1-21k-en",
"dataset:hieunguyenminh/roleplay",
"dataset:meta-math/MetaMathQA",
"dataset:kunishou/jp-effective-instructions",
"arxiv:240... | null | 2024-04-02T01:20:21+00:00 | [
"2403.17919"
] | [
"ja"
] | TAGS
#transformers #safetensors #mixtral #text-generation #merge #moe #lisa #ja #dataset-kunishou/amenokaku-code-instruct #dataset-llm-jp/oasst1-21k-en #dataset-hieunguyenminh/roleplay #dataset-meta-math/MetaMathQA #dataset-kunishou/jp-effective-instructions #arxiv-2403.17919 #base_model-tokyotech-llm/Swallow-7b-hf #ba... | Swallow-MoE-4x7B-lisa
=====================
概要
--
tokyotech-llm/Swallow-7b-hfをベースに、以下の4モデルをgate\_mode=randomでMoEし、その後LISAという手法でインストラクションチューニングを施したモデルです。
* tokyotech-llm/Swallow-7b-instruct-hf
* nitky/Superswallow-7b-v0.1
* nitky/Superswallow-7b-v0.2
* nitky/Superswallow-7b-v0.3
お試しで作ってみたものなので、性能にはあまり期待しないでください。... | [] | [
"TAGS\n#transformers #safetensors #mixtral #text-generation #merge #moe #lisa #ja #dataset-kunishou/amenokaku-code-instruct #dataset-llm-jp/oasst1-21k-en #dataset-hieunguyenminh/roleplay #dataset-meta-math/MetaMathQA #dataset-kunishou/jp-effective-instructions #arxiv-2403.17919 #base_model-tokyotech-llm/Swallow-7b-... | [
242
] | [
"TAGS\n#transformers #safetensors #mixtral #text-generation #merge #moe #lisa #ja #dataset-kunishou/amenokaku-code-instruct #dataset-llm-jp/oasst1-21k-en #dataset-hieunguyenminh/roleplay #dataset-meta-math/MetaMathQA #dataset-kunishou/jp-effective-instructions #arxiv-2403.17919 #base_model-tokyotech-llm/Swallow-7b-... |
null | null | <img src="https://i.imgur.com/P68dXux.png" width="400"/>
# Euryale-1.3-longLORA-70b-rope8-32k-iMat-GGUF
<b>Special request.</b> Quantized from fp16 with love. Please note I have not tested context to the full 32k, but these quants have all passed the standard suite of coherence and KL-divergence benchmark tests. Any... | {"tags": ["merge", "gguf", "storywriting", "text adventure", "iMat"]} | InferenceIllusionist/Euryale-1.3-longLORA-70b-rope8-32k-iMat-GGUF | null | [
"gguf",
"merge",
"storywriting",
"text adventure",
"iMat",
"region:us"
] | null | 2024-04-02T01:28:57+00:00 | [] | [] | TAGS
#gguf #merge #storywriting #text adventure #iMat #region-us
| <img src="https://i.URL width="400"/>
# Euryale-1.3-longLORA-70b-rope8-32k-iMat-GGUF
<b>Special request.</b> Quantized from fp16 with love. Please note I have not tested context to the full 32k, but these quants have all passed the standard suite of coherence and KL-divergence benchmark tests. Any feedback is welcom... | [
"# Euryale-1.3-longLORA-70b-rope8-32k-iMat-GGUF\n\n\n<b>Special request.</b> Quantized from fp16 with love. Please note I have not tested context to the full 32k, but these quants have all passed the standard suite of coherence and KL-divergence benchmark tests. Any feedback is welcomed.\n* Quantizations made possi... | [
"TAGS\n#gguf #merge #storywriting #text adventure #iMat #region-us \n",
"# Euryale-1.3-longLORA-70b-rope8-32k-iMat-GGUF\n\n\n<b>Special request.</b> Quantized from fp16 with love. Please note I have not tested context to the full 32k, but these quants have all passed the standard suite of coherence and KL-diverge... | [
20,
238
] | [
"TAGS\n#gguf #merge #storywriting #text adventure #iMat #region-us \n# Euryale-1.3-longLORA-70b-rope8-32k-iMat-GGUF\n\n\n<b>Special request.</b> Quantized from fp16 with love. Please note I have not tested context to the full 32k, but these quants have all passed the standard suite of coherence and KL-divergence be... |
token-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# xlm-roberta-base-finetuned-panx-de
This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-b... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["f1"], "base_model": "xlm-roberta-base", "model-index": [{"name": "xlm-roberta-base-finetuned-panx-de", "results": []}]} | duckdwns/xlm-roberta-base-finetuned-panx-de | null | [
"transformers",
"safetensors",
"xlm-roberta",
"token-classification",
"generated_from_trainer",
"base_model:xlm-roberta-base",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-02T01:33:56+00:00 | [] | [] | TAGS
#transformers #safetensors #xlm-roberta #token-classification #generated_from_trainer #base_model-xlm-roberta-base #license-mit #autotrain_compatible #endpoints_compatible #region-us
| xlm-roberta-base-finetuned-panx-de
==================================
This model is a fine-tuned version of xlm-roberta-base on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1379
* F1: 0.8505
Model description
-----------------
More information needed
Intended uses & l... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 96\n* eval\\_batch\\_size: 96\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 3",
"### Traini... | [
"TAGS\n#transformers #safetensors #xlm-roberta #token-classification #generated_from_trainer #base_model-xlm-roberta-base #license-mit #autotrain_compatible #endpoints_compatible #region-us \n",
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51,
101,
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44
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"TAGS\n#transformers #safetensors #xlm-roberta #token-classification #generated_from_trainer #base_model-xlm-roberta-base #license-mit #autotrain_compatible #endpoints_compatible #region-us \n### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* ... |
text-generation | transformers |
<!-- 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. -->
# BitLlama2-jp-127M-optim-4
This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
It achieves t... | {"tags": ["generated_from_trainer"], "model-index": [{"name": "BitLlama2-jp-127M-optim-4", "results": []}]} | HachiML/BitLlama2-jp-127M-optim-4 | null | [
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#transformers #safetensors #bit_llama #text-generation #generated_from_trainer #custom_code #autotrain_compatible #region-us
| BitLlama2-jp-127M-optim-4
=========================
This model is a fine-tuned version of [](URL on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 3.4021
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. -->
# gpt-neo-125m-cs-finetuning-80000-3
This model is a fine-tuned version of [EleutherAI/gpt-neo-125m](https://huggingface.co/Eleuth... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "EleutherAI/gpt-neo-125m", "model-index": [{"name": "gpt-neo-125m-cs-finetuning-80000-3", "results": []}]} | KimByeongSu/gpt-neo-125m-cs-finetuning-80000-3 | null | [
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| gpt-neo-125m-cs-finetuning-80000-3
==================================
This model is a fine-tuned version of EleutherAI/gpt-neo-125m on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 3.1801
Model description
-----------------
More information needed
Intended uses & limitatio... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-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",
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text-to-image | diffusers |
# LoRA DreamBooth - squaadinc/1712021793908x658840438493628700
These are LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0 trained on @fffiloni's SD-XL trainer.
The weights were trained on the concept prompt:
```
A photo of TOK
```
Use this keyword to trigger your custom model in your prompts.... | {"tags": ["stable-diffusion-xl", "stable-diffusion-xl-diffusers", "text-to-image", "diffusers", "lora"], "datasets": ["TheAkiramaster/Bolsonaro"], "base_model": "stabilityai/stable-diffusion-xl-base-1.0", "instance_prompt": "A photo of TOK", "inference": false} | squaadinc/1712021793908x658840438493628700 | null | [
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|
# LoRA DreamBooth - squaadinc/1712021793908x658840438493628700
These are LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0 trained on @fffiloni's SD-XL trainer.
The weights were trained on the concept prompt:
Use this keyword to trigger your custom model in your prompts.
LoRA for the text en... | [
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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. -->
# modelo-epico
This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on an unknown datas... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "bert-base-cased", "model-index": [{"name": "modelo-epico", "results": []}]} | ctutiven/modelo-epico | null | [
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| modelo-epico
============
This model is a fine-tuned version of bert-base-cased on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 1.2257
* Accuracy: 0.6
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
M... | [
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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": "mistralai/mistral-7b-v0.1"} | cherry-0/Mistral-FairytaleQA | null | [
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# Model Card for Model ID
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### Model Description
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fill-mask | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# RoBERTa_EmpAI_Definitivo
This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on an unknown... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "roberta-base", "model-index": [{"name": "RoBERTa_EmpAI_Definitivo", "results": []}]} | LuangMV97/RoBERTa_EmpAI_Definitivo | null | [
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| RoBERTa\_EmpAI\_Definitivo
==========================
This model is a fine-tuned version of roberta-base on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.9983
Model description
-----------------
More information needed
Intended uses & limitations
----------------------... | [
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text-classification | transformers |
<table>
<tr>
<td>
<img src="https://img.shields.io/github/languages/top/AstraBert/resistML" alt="GitHub top language">
</td>
<td>
<img src="https://img.shields.io/github/commit-activity/t/AstraBert/resistML" alt="GitHub commit activity">
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<td>
<img src="https://img.shields.io/badge/r... | {"tags": ["autotrain", "text-classification", "protein-classification", "protbert", "antiobiotic-resistance"], "datasets": ["as-cle-bert/AMR-Gene-Families"], "widget": [{"text": "I love AutoTrain"}, {"text": "M T L A L V G E K I D R N R F T G E K V E N S T F F N C D F S G A D L S G T E F I G C Q F Y D R E S Q K G C N F... | as-cle-bert/resistBERT | null | [
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|
resistML
========
A tool for AMR gene family prediction, simple and ML-based. Please refer to this GitHub repository.
Training
--------
### Data collection for training
Latest reference sequences release (Feb 2024) were downloaded from CARD (*The Comprehensive Antibiotic Resistance Database*). If you want to ... | [
"### Data collection for training\n\n\nLatest reference sequences release (Feb 2024) were downloaded from CARD (*The Comprehensive Antibiotic Resistance Database*). If you want to automatically download them too, use 'this link <URL\n\n\nProtein sequences were mapped with their ARO indices to the corrresponding AMR... | [
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image-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# beit-base-patch16-224-dmae-va-U5-42
This model is a fine-tuned version of [microsoft/beit-base-patch16-224](https://huggingface.... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "microsoft/beit-base-patch16-224", "model-index": [{"name": "beit-base-patch16-224-dmae-va-U5-42", "results": []}]} | Augusto777/beit-base-patch16-224-dmae-va-U5-42 | null | [
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| beit-base-patch16-224-dmae-va-U5-42
===================================
This model is a fine-tuned version of microsoft/beit-base-patch16-224 on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 1.0039
* Accuracy: 0.8167
Model description
-----------------
More information nee... | [
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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. -->
# finetuning-sentiment-model-mpnet
This model is a fine-tuned version of [sentence-transformers/all-mpnet-base-v2](https://hugging... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy", "f1"], "base_model": "sentence-transformers/all-mpnet-base-v2", "model-index": [{"name": "finetuning-sentiment-model-mpnet", "results": []}]} | abhiramd22/finetuning-sentiment-model-mpnet | null | [
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|
# finetuning-sentiment-model-mpnet
This model is a fine-tuned version of sentence-transformers/all-mpnet-base-v2 on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2909
- Accuracy: 0.8953
- F1: 0.8944
## Model description
More information needed
## Intended uses & limitations... | [
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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": []} | dar-tau/gpt-j-f16-svd | null | [
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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. -->
# MiniProject_Prescription_Chatbot
This model is a fine-tuned version of [distilbert/distilgpt2](https://huggingface.co/distilbert... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "distilbert/distilgpt2", "model-index": [{"name": "MiniProject_Prescription_Chatbot", "results": []}]} | tzartrooper/MiniProject_Prescription_Chatbot | null | [
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| MiniProject\_Prescription\_Chatbot
==================================
This model is a fine-tuned version of distilbert/distilgpt2 on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 3.6475
Model description
-----------------
More information needed
Intended uses & limitations... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 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: 100",
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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... | {"language": ["ko"], "license": "apache-2.0", "library_name": "transformers"} | jwkweon/CUBOX-SOLAR-DPO-v0.2 | 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... | {"language": ["ko"], "license": "apache-2.0", "library_name": "transformers"} | jwkweon/CUBOX-SOLAR-DPO-v0.3 | 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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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. -->
# vit-base-patch16-224-dmae-va-U5-42
This model is a fine-tuned version of [google/vit-base-patch16-224](https://huggingface.co/go... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "google/vit-base-patch16-224", "model-index": [{"name": "vit-base-patch16-224-dmae-va-U5-42", "results": []}]} | Augusto777/vit-base-patch16-224-dmae-va-U5-42 | null | [
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| vit-base-patch16-224-dmae-va-U5-42
==================================
This model is a fine-tuned version of google/vit-base-patch16-224 on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.7345
* Accuracy: 0.8333
Model description
-----------------
More information needed
... | [
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text-to-image | diffusers |
# SDXL LoRA DreamBooth - linoyts/huggy_dora_edm_v3_pivotal
<Gallery />
## Model description
### These are linoyts/huggy_dora_edm_v3_pivotal LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0.
## Download model
### Use it with UIs such as AUTOMATIC1111, Comfy UI, SD.Next, Invoke
- **LoRA**: downlo... | {"license": "openrail++", "tags": ["stable-diffusion-xl", "stable-diffusion-xl-diffusers", "diffusers-training", "text-to-image", "diffusers", "dora", "template:sd-lora", "edm-training"], "inference": {"parameters": {"scheduler": "EulerDiscreteScheduler"}}, "widget": [{"text": "a <s0><s1> emoji dressed as an easter bun... | linoyts/huggy_dora_edm_v3_pivotal | null | [
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|
# SDXL LoRA DreamBooth - linoyts/huggy_dora_edm_v3_pivotal
<Gallery />
## Model description
### These are linoyts/huggy_dora_edm_v3_pivotal LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0.
## Download model
### Use it with UIs such as AUTOMATIC1111, Comfy UI, SD.Next, Invoke
- LoRA: download '... | [
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text-generation | transformers |
# Tess-2.0-Yi-34B-200K
Tess, short for Tesoro (Treasure in Italian), is a general purpose Large Language Model series. Tess-2.0-Yi-34B-200K was trained on the 01-ai/Yi-34B-200K base.
# Prompt Format:
```
SYSTEM: <ANY SYSTEM CONTEXT>
USER:
ASSISTANT:
```
<br>
![Tesoro](https://huggingface.co/migtissera/Tess-7B-v... | {"license": "other", "license_name": "yi-34b", "license_link": "https://huggingface.co/01-ai/Yi-34B-200K/blob/main/LICENSE"} | blockblockblock/Tess-2.0-Yi-34B-200K-bpw2.5 | null | [
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|
# Tess-2.0-Yi-34B-200K
Tess, short for Tesoro (Treasure in Italian), is a general purpose Large Language Model series. Tess-2.0-Yi-34B-200K was trained on the 01-ai/Yi-34B-200K base.
# Prompt Format:
<br>
!Tesoro
<br>
### Below shows a code example on how to use this model:
<br>
#### Limitations & Biases:
... | [
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null | transformers | # PhoGPT: Generative Pre-training for Vietnamese
We open-source a state-of-the-art 4B-parameter generative model series for Vietnamese, which includes the base pre-trained monolingual model PhoGPT-4B and its chat variant, PhoGPT-4B-Chat. The base model, PhoGPT-4B, with exactly 3.7B parameters, is pre-trained from scr... | {} | vinai/PhoGPT-4B-Chat-gguf | null | [
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"arxiv:2311.02945",
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"region:us"
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"2311.02945"
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#transformers #gguf #mpt #arxiv-2311.02945 #endpoints_compatible #text-generation-inference #region-us
| # PhoGPT: Generative Pre-training for Vietnamese
We open-source a state-of-the-art 4B-parameter generative model series for Vietnamese, which includes the base pre-trained monolingual model PhoGPT-4B and its chat variant, PhoGPT-4B-Chat. The base model, PhoGPT-4B, with exactly 3.7B parameters, is pre-trained from scr... | [
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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": []} | azhara001/donut-base-demo-v3 | 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-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. -->
# BERT-base-airlines-news
This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on t... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "bert-base-uncased", "model-index": [{"name": "BERT-base-airlines-news", "results": []}]} | dahe827/BERT-base-airlines-news | null | [
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| BERT-base-airlines-news
=======================
This model is a fine-tuned version of bert-base-uncased on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 1.3065
Model description
-----------------
More information needed
Intended uses & limitations
-------------------------... | [
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null | transformers | ## About
weighted/imatrix quants of https://huggingface.co/migtissera/Tess-2.0-Mixtral
<!-- provided-files -->
static quants are available at https://huggingface.co/mradermacher/Tess-2.0-Mixtral-GGUF
## Usage
If you are unsure how to use GGUF files, refer to one of [TheBloke's
READMEs](https://huggingface.co/TheBlok... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "base_model": "migtissera/Tess-2.0-Mixtral", "quantized_by": "mradermacher"} | mradermacher/Tess-2.0-Mixtral-i1-GGUF | null | [
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] | null | 2024-04-02T01:58:40+00:00 | [] | [
"en"
] | TAGS
#transformers #gguf #en #base_model-migtissera/Tess-2.0-Mixtral #license-apache-2.0 #endpoints_compatible #region-us
| About
-----
weighted/imatrix quants of URL
static quants are available at URL
Usage
-----
If you are unsure how to use GGUF files, refer to one of TheBloke's
READMEs for
more details, including on how to concatenate multi-part files.
Provided Quants
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text-generation | transformers | # kunoichi-lemon-royale-v2-32K-7B
This merge amounts to the grafting of a model derived from Mistral v0.1 (4K sliding window context, to a maximum of 8K practical context length) onto a model derived from Mistral v0.2 (32K context length). It appears to work, although rope_theta in config.json was lowered from 1000000... | {"license": "cc-by-nc-4.0", "library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["grimjim/Mistral-7B-Instruct-demi-merge-v0.2-7B", "grimjim/kunoichi-lemon-royale-7B"]} | grimjim/kunoichi-lemon-royale-v2-32K-7B | null | [
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| # kunoichi-lemon-royale-v2-32K-7B
This merge amounts to the grafting of a model derived from Mistral v0.1 (4K sliding window context, to a maximum of 8K practical context length) onto a model derived from Mistral v0.2 (32K context length). It appears to work, although rope_theta in URL was lowered from 1000000.0 to 10... | [
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text-generation | null |
## 💫 Community Model> Dolphin 2.8 Mistral 7b v0.2 🐬 by Cognitive Computations
*👾 [LM Studio](https://lmstudio.ai) Community models highlights program. Highlighting new & noteworthy models by the community. Join the conversation on [Discord](https://discord.gg/aPQfnNkxGC)*.
**Model creator:** [Cognitive Computatio... | {"language": ["en"], "license": "apache-2.0", "datasets": ["cognitivecomputations/dolphin", "cognitivecomputations/dolphin-coder", "cognitivecomputations/samantha-data", "jondurbin/airoboros-2.2.1", "teknium/openhermes-2.5", "m-a-p/Code-Feedback", "m-a-p/CodeFeedback-Filtered-Instruction"], "base_model": "alpindale/Mis... | lmstudio-community/dolphin-2.8-mistral-7b-v02-GGUF | null | [
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## Community Model> Dolphin 2.8 Mistral 7b v0.2 by Cognitive Computations
* LM Studio Community models highlights program. Highlighting new & noteworthy models by the community. Join the conversation on Discord*.
Model creator: Cognitive Computations<br>
Original model: dolphin-2.8-mistral-7b-v02<br>
GGUF quantiza... | [
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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": "mistralai/Mistral-7B-Instruct-v0.2"} | ayush1705/try_me | null | [
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|
# 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-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": []} | frodoclicks/bloom-560m-lora-2 | 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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- Shared by [optional]:
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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. -->
# wav2vec2-base-timit-demo-google-colab
This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/face... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["timit_asr"], "metrics": ["wer"], "base_model": "facebook/wav2vec2-base", "model-index": [{"name": "wav2vec2-base-timit-demo-google-colab", "results": [{"task": {"type": "automatic-speech-recognition", "name": "Automatic Speech Recognition"}, "d... | Lasion/wav2vec2-base-timit-demo-google-colab | null | [
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| wav2vec2-base-timit-demo-google-colab
=====================================
This model is a fine-tuned version of facebook/wav2vec2-base on the timit\_asr dataset.
It achieves the following results on the evaluation set:
* Loss: 0.4634
* Wer: 0.3367
Model description
-----------------
More information needed
... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0001\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* lr\\_scheduler\\_warmup\\_steps:... | [
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image-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# swin-tiny-patch4-window7-224-dmae-va-U5-42
This model is a fine-tuned version of [microsoft/swin-tiny-patch4-window7-224](https:... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "microsoft/swin-tiny-patch4-window7-224", "model-index": [{"name": "swin-tiny-patch4-window7-224-dmae-va-U5-42", "results": []}]} | Augusto777/swin-tiny-patch4-window7-224-dmae-va-U5-42 | null | [
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| swin-tiny-patch4-window7-224-dmae-va-U5-42
==========================================
This model is a fine-tuned version of microsoft/swin-tiny-patch4-window7-224 on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.6653
* Accuracy: 0.75
Model description
-----------------
M... | [
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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. -->
# Medical-NER-finetuned-ner
This model is a fine-tuned version of [Clinical-AI-Apollo/Medical-NER](https://huggingface.co/Clinical... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["precision", "recall", "f1", "accuracy"], "model-index": [{"name": "Medical-NER-finetuned-ner", "results": []}]} | trung11/Medical-NER-finetuned-ner | null | [
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| Medical-NER-finetuned-ner
=========================
This model is a fine-tuned version of Clinical-AI-Apollo/Medical-NER on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.3114
* Precision: 0.7903
* Recall: 0.9005
* F1: 0.8418
* Accuracy: 0.9313
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. -->
# CatPPT-id
This model is a fine-tuned version of [rishiraj/CatPPT-base](https://huggingface.co/rishiraj/CatPPT-base) on the gener... | {"license": "apache-2.0", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "datasets": ["generator"], "base_model": "rishiraj/CatPPT-base", "model-index": [{"name": "CatPPT-id", "results": []}]} | dummydoctor/CatPPT-id | null | [
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|
# CatPPT-id
This model is a fine-tuned version of rishiraj/CatPPT-base on the generator dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The... | [
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null | transformers | ## About
static quants of https://huggingface.co/ichigoberry/MonarchPipe-7B-slerp
<!-- provided-files -->
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 Commu... | {"language": ["en"], "license": "cc-by-nc-2.0", "library_name": "transformers", "tags": ["merge", "mergekit", "lazymergekit", "OpenPipe/mistral-ft-optimized-1227", "mlabonne/AlphaMonarch-7B"], "base_model": "ichigoberry/MonarchPipe-7B-slerp", "quantized_by": "mradermacher"} | mradermacher/MonarchPipe-7B-slerp-GGUF | null | [
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| 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
-----
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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. -->
# opus-mt-cantonese-v2
This model is a fine-tuned version of [Helsinki-NLP/opus-mt-en-zh](https://huggingface.co/Helsinki-NLP/opus... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["bleu"], "base_model": "Helsinki-NLP/opus-mt-en-zh", "model-index": [{"name": "opus-mt-cantonese-v2", "results": []}]} | edwinlaw/opus-mt-cantonese-v2 | null | [
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| opus-mt-cantonese-v2
====================
This model is a fine-tuned version of Helsinki-NLP/opus-mt-en-zh.
It achieves the following results on the evaluation set:
* Loss: 1.8948
* Bleu: 4.1931
* Gen Len: 12.2403
Model description
-----------------
This model translates English into Cantonese.
Intended uses ... | [
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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": []} | lxsure/Sniper_25 | 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. -->
# BitLlama2-jp-127M-optim-5
This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
It achieves t... | {"tags": ["generated_from_trainer"], "model-index": [{"name": "BitLlama2-jp-127M-optim-5", "results": []}]} | HachiML/BitLlama2-jp-127M-optim-5 | null | [
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| BitLlama2-jp-127M-optim-5
=========================
This model is a fine-tuned version of [](URL on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 3.3371
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
... | [
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text-generation | transformers |
# Uploaded model
- **Developed by:** Cyleux
- **License:** apache-2.0
- **Finetuned from model :** unsloth/tinyllama
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/images/... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl", "sft"], "base_model": "unsloth/tinyllama"} | Cyleux/prefixer | null | [
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|
# Uploaded model
- Developed by: Cyleux
- License: apache-2.0
- Finetuned from model : unsloth/tinyllama
This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
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text-generation | null |
## Llamacpp Quantizations of Tess-2.0-Yi-34B-200K
Using <a href="https://github.com/ggerganov/llama.cpp/">llama.cpp</a> release <a href="https://github.com/ggerganov/llama.cpp/releases/tag/b2536">b2536</a> for quantization.
Original model: https://huggingface.co/migtissera/Tess-2.0-Yi-34B-200K
Download a file (not ... | {"license": "other", "license_name": "yi-34b", "license_link": "https://huggingface.co/01-ai/Yi-34B-200K/blob/main/LICENSE", "quantized_by": "bartowski", "pipeline_tag": "text-generation"} | bartowski/Tess-2.0-Yi-34B-200K-GGUF | null | [
"gguf",
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"license:other",
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#gguf #text-generation #license-other #region-us
| Llamacpp Quantizations of Tess-2.0-Yi-34B-200K
----------------------------------------------
Using <a href="URL release <a href="URL for quantization.
Original model: URL
Download a file (not the whole branch) from below:
Want to support my work? Visit my ko-fi page here: URL
| [] | [
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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. -->
# finetuning-sentiment-model-mpnet-imdb
This model is a fine-tuned version of [sentence-transformers/all-mpnet-base-v2](https://hu... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["stanfordnlp/imdb"], "metrics": ["accuracy", "f1"], "base_model": "sentence-transformers/all-mpnet-base-v2", "pipeline_tag": "text-classification", "model-index": [{"name": "finetuning-sentiment-model-mpnet-imdb", "results": []}]} | abhiramd22/finetuning-sentiment-model-mpnet-imdb | null | [
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|
# finetuning-sentiment-model-mpnet-imdb
This model is a fine-tuned version of sentence-transformers/all-mpnet-base-v2 on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1528
- Accuracy: 0.9568
- F1: 0.9570
## Model description
More information needed
## Intended uses & limita... | [
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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": []} | azhara001/donut-base-demo-v2 | 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 |
[github](https://github.com/zephyr737/RoleLLM) | {"language": ["zh", "en"], "license": "cc-by-nc-4.0", "datasets": ["zephyr7788/RoleData"]} | zephyr7788/RoleLLM | null | [
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text-to-image | diffusers |
# Photon
## v1
### Description:
> <p>This is the initial release focused on achieving photorealistic results. However, please note that the model's hands generation may have some limitations at this stage, and I'm actively exploring training techniques to enhance it.</p>
... | {"license": "creativeml-openrail-m", "library_name": "diffusers", "tags": ["Safetensors", "stable-diffusion", "stable-diffusion-diffusers", "text-to-image"], "pipeline_tag": "text-to-image"} | sam749/Photon-v1 | null | [
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|
# Photon
## v1
!Generated Sample
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
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### Model Description
<!-- Provide a longer summary of what this model is. -->
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# Model Card for Model ID
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reinforcement-learning | stable-baselines3 |
# **DQN** Agent playing **ALE/Pacman-v5**
This is a trained model of a **DQN** agent playing **ALE/Pacman-v5**
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 framework for Stable Baselines3
rein... | {"library_name": "stable-baselines3", "tags": ["ALE/Pacman-v5", "deep-reinforcement-learning", "reinforcement-learning", "stable-baselines3"], "model-index": [{"name": "DQN", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "ALE/Pacman-v5", "type": "ALE/Pacm... | ledmands/dqn_Pacman-v5_batch16 | null | [
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#stable-baselines3 #ALE/Pacman-v5 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
# DQN Agent playing ALE/Pacman-v5
This is a trained model of a DQN agent playing ALE/Pacman-v5
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 included.
## Usage (with S... | [
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"TAGS\n#stable-baselines3 #ALE/Pacman-v5 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us \n# DQN Agent playing ALE/Pacman-v5\nThis is a trained model of a DQN agent playing ALE/Pacman-v5\nusing the stable-baselines3 library\nand the RL Zoo.\n\nThe RL Zoo is a training framework for Stab... |
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": []} | jwnder/codellama_CodeLlama-70b-Instruct-hf-bnb-4bit | null | [
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"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"4-bit",
"region:us"
] | null | 2024-04-02T02:23:37+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #llama #text-generation #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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text-to-image | diffusers |
# epiCPhotoGasm
## Last Unicorn
### Description:
> <p><em>Private Model Release</em><br />This is my finetuned private Model which is based on the Z Model with a merge of finetuned Photo Lora to improve photorealistic outcomes, dont expect too much change to the Z Version... | {"license": "creativeml-openrail-m", "library_name": "diffusers", "tags": ["Safetensors", "stable-diffusion", "stable-diffusion-diffusers", "text-to-image"], "pipeline_tag": "text-to-image"} | sam749/epiCPhotoGasm-Last-nicorn | null | [
"diffusers",
"safetensors",
"Safetensors",
"stable-diffusion",
"stable-diffusion-diffusers",
"text-to-image",
"license:creativeml-openrail-m",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
] | null | 2024-04-02T02:24:51+00:00 | [] | [] | TAGS
#diffusers #safetensors #Safetensors #stable-diffusion #stable-diffusion-diffusers #text-to-image #license-creativeml-openrail-m #endpoints_compatible #diffusers-StableDiffusionPipeline #region-us
|
# epiCPhotoGasm
## Last Unicorn
!Generated Sample
### Description:
> <p><em>Private Model Release</em><br />This is my finetuned private Model which is based on the Z Model with a merge of finetuned Photo Lora to improve photorealistic outcomes, dont expect too much change to the Z Version</p><p><strong>T... | [
"# epiCPhotoGasm\n ## Last Unicorn\n\n !Generated Sample\n\n ### Description:\n\n > <p><em>Private Model Release</em><br />This is my finetuned private Model which is based on the Z Model with a merge of finetuned Photo Lora to improve photorealistic outcomes, dont expect too much change to the Z Version</p><p>... | [
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text-generation | transformers | # merge
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* [coffiee/s30](https://huggingface.co/coffiee... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["coffiee/s30", "coffiee/s28"]} | Sumail/Goat_Derrick22 | null | [
"transformers",
"safetensors",
"stablelm",
"text-generation",
"mergekit",
"merge",
"conversational",
"base_model:coffiee/s30",
"base_model:coffiee/s28",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-02T02:27:51+00:00 | [] | [] | TAGS
#transformers #safetensors #stablelm #text-generation #mergekit #merge #conversational #base_model-coffiee/s30 #base_model-coffiee/s28 #autotrain_compatible #endpoints_compatible #region-us
| # merge
This is a merge of pre-trained language models created using mergekit.
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* coffiee/s30
* coffiee/s28
### Configuration
The following YAML configuration wa... | [
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"## Merge Details",
"### Merge Method\n\nThis model was merged using the SLERP merge method.",
"### Models Merged\n\nThe following models were included in the merge:\n* coffiee/s30\n* coffiee/s28",
"### Configuration\n\nThe... | [
"TAGS\n#transformers #safetensors #stablelm #text-generation #mergekit #merge #conversational #base_model-coffiee/s30 #base_model-coffiee/s28 #autotrain_compatible #endpoints_compatible #region-us \n",
"# merge\n\nThis is a merge of pre-trained language models created using mergekit.",
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text-generation | transformers | # merge
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* [coffiee/s28](https://huggingface.co/coffiee... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["coffiee/s28", "coffiee/s30"]} | Sumail/Goat_Derrick23 | null | [
"transformers",
"safetensors",
"stablelm",
"text-generation",
"mergekit",
"merge",
"conversational",
"base_model:coffiee/s28",
"base_model:coffiee/s30",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-02T02:31:26+00:00 | [] | [] | TAGS
#transformers #safetensors #stablelm #text-generation #mergekit #merge #conversational #base_model-coffiee/s28 #base_model-coffiee/s30 #autotrain_compatible #endpoints_compatible #region-us
| # merge
This is a merge of pre-trained language models created using mergekit.
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* coffiee/s28
* coffiee/s30
### Configuration
The following YAML configuration wa... | [
"# merge\n\nThis is a merge of pre-trained language models created using mergekit.",
"## Merge Details",
"### Merge Method\n\nThis model was merged using the SLERP merge method.",
"### Models Merged\n\nThe following models were included in the merge:\n* coffiee/s28\n* coffiee/s30",
"### Configuration\n\nThe... | [
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"# merge\n\nThis is a merge of pre-trained language models created using mergekit.",
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reinforcement-learning | ml-agents |
# **ppo** Agent playing **SnowballTarget**
This is a trained model of a **ppo** agent playing **SnowballTarget**
using the [Unity ML-Agents Library](https://github.com/Unity-Technologies/ml-agents).
## Usage (with ML-Agents)
The Documentation: https://unity-technologies.github.io/ml-agents/ML-Agents-Toolkit... | {"library_name": "ml-agents", "tags": ["SnowballTarget", "deep-reinforcement-learning", "reinforcement-learning", "ML-Agents-SnowballTarget"]} | chanifrusydi/ppo-SnowballTarget | null | [
"ml-agents",
"tensorboard",
"onnx",
"SnowballTarget",
"deep-reinforcement-learning",
"reinforcement-learning",
"ML-Agents-SnowballTarget",
"region:us"
] | null | 2024-04-02T02:31:33+00:00 | [] | [] | TAGS
#ml-agents #tensorboard #onnx #SnowballTarget #deep-reinforcement-learning #reinforcement-learning #ML-Agents-SnowballTarget #region-us
|
# ppo Agent playing SnowballTarget
This is a trained model of a ppo agent playing SnowballTarget
using the Unity ML-Agents Library.
## Usage (with ML-Agents)
The Documentation: URL
We wrote a complete tutorial to learn to train your first agent using ML-Agents and publish it to the Hub:
- A *short tuto... | [
"# ppo Agent playing SnowballTarget\n This is a trained model of a ppo agent playing SnowballTarget\n using the Unity ML-Agents Library.\n\n ## Usage (with ML-Agents)\n The Documentation: URL\n\n We wrote a complete tutorial to learn to train your first agent using ML-Agents and publish it to the Hub:\n - A *... | [
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"# ppo Agent playing SnowballTarget\n This is a trained model of a ppo agent playing SnowballTarget\n using the Unity ML-Agents Library.\n\n ## Usage (with ML-Agen... | [
39,
207
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"TAGS\n#ml-agents #tensorboard #onnx #SnowballTarget #deep-reinforcement-learning #reinforcement-learning #ML-Agents-SnowballTarget #region-us \n# ppo Agent playing SnowballTarget\n This is a trained model of a ppo agent playing SnowballTarget\n using the Unity ML-Agents Library.\n\n ## Usage (with ML-Agents)\n ... |
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