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reinforcement-learning | null |
# **Reinforce** Agent playing **CartPole-v1**
This is a trained model of a **Reinforce** agent playing **CartPole-v1** .
To learn to use this model and train yours check Unit 4 of the Deep Reinforcement Learning Course: https://huggingface.co/deep-rl-course/unit4/introduction
| {"tags": ["CartPole-v1", "reinforce", "reinforcement-learning", "custom-implementation", "deep-rl-class"], "model-index": [{"name": "Unit4-Reinforce-CartPole-v1", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "CartPole-v1", "type": "CartPole-v1"}, "metric... | adekhovich/Unit4-Reinforce-CartPole-v1 | null | [
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#CartPole-v1 #reinforce #reinforcement-learning #custom-implementation #deep-rl-class #model-index #region-us
|
# Reinforce Agent playing CartPole-v1
This is a trained model of a Reinforce agent playing CartPole-v1 .
To learn to use this model and train yours check Unit 4 of the Deep Reinforcement Learning Course: URL
| [
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null | null | Hi, I am Soham Tripathy. Thsi is my trained model for image captioning using CNN and LSTM.
To run the model, please follow the following instructions
| {} | soham1703/my_dl | null | [
"region:us"
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#region-us
| Hi, I am Soham Tripathy. Thsi is my trained model for image captioning using CNN and LSTM.
To run the model, please follow the following instructions
| [] | [
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image-to-text | transformers |
# LongCap: Finetuned [BLIP](https://huggingface.co/Salesforce/blip-image-captioning-large) for generating long captions of images, suitable for prompts for text-to-image generation and captioning text-to-image datasets
## Usage
You can use this model for conditional and un-conditional image captioning
### Using th... | {"license": "bsd-3-clause", "tags": ["image-captioning"], "datasets": ["unography/laion-14k-GPT4V-LIVIS-Captions"], "pipeline_tag": "image-to-text", "languages": ["en"], "widget": [{"src": "https://huggingface.co/datasets/mishig/sample_images/resolve/main/savanna.jpg", "example_title": "Savanna"}, {"src": "https://hugg... | unography/blip-large-long-cap | null | [
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|
# LongCap: Finetuned BLIP for generating long captions of images, suitable for prompts for text-to-image generation and captioning text-to-image datasets
## Usage
You can use this model for conditional and un-conditional image captioning
### Using the Pytorch model
#### Running the model on CPU
<details>
<summar... | [
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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. -->
# final-checkpoint
This model is a fine-tuned version of [microsoft/phi-2](https://huggingface.co/microsoft/phi-2) on an unknown d... | {"license": "mit", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "microsoft/phi-2", "model-index": [{"name": "final-checkpoint", "results": []}]} | mzamfirdaus/final-checkpoint | null | [
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#peft #safetensors #generated_from_trainer #base_model-microsoft/phi-2 #license-mit #region-us
| final-checkpoint
================
This model is a fine-tuned version of microsoft/phi-2 on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 1.3170
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More info... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0002\n* train\\_batch\\_size: 1\n* eval\\_batch\\_size: 8\n* seed: 42\n* gradient\\_accumulation\\_steps: 4\n* total\\_train\\_batch\\_size: 4\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1... | [
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null | null |
this is a demo how fine tune phi-2 model on a 24G VRAM A10 or 4090 Card.
```
import torch
import datasets
from transformers import TrainingArguments, AutoConfig, AutoTokenizer, AutoModelForCausalLM
import trl
from transformers import BitsAndBytesConfig
train_dataset = datasets.load_dataset('HuggingFaceTB/cosmopedia-... | {"license": "apache-2.0"} | cloudyu/microsoft-phi-2-sft | null | [
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"region:us"
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#safetensors #license-apache-2.0 #region-us
|
this is a demo how fine tune phi-2 model on a 24G VRAM A10 or 4090 Card.
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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": []} | relu-ntnu/bart-large-xsum_v3_trained_on_50 | null | [
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|
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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. -->
# PolizzeDonut-CR-Cluster7di7-ConPre-3Epochs
This model is a fine-tuned version of [tedad09/PolizzeDonut-ChangeRequest-imm5epochs-... | {"license": "mit", "tags": ["generated_from_trainer"], "datasets": ["imagefolder"], "base_model": "tedad09/PolizzeDonut-ChangeRequest-imm5epochs-Expand0", "model-index": [{"name": "PolizzeDonut-CR-Cluster7di7-ConPre-3Epochs", "results": []}]} | tedad09/PolizzeDonut-CR-Cluster7di7-ConPre-3Epochs | null | [
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|
# PolizzeDonut-CR-Cluster7di7-ConPre-3Epochs
This model is a fine-tuned version of tedad09/PolizzeDonut-ChangeRequest-imm5epochs-Expand0 on the imagefolder dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More informat... | [
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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": []} | relu-ntnu/bart-large-xsum_v3_trained_on_100 | 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": ["trl", "sft"]} | rainerberger/planetn2 | null | [
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# Model Card for Model ID
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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text-generation | transformers |
# 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": []} | aamonten/gemma-2b-mt-German-to-English | null | [
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | marcoCasamento/invoices-donut-model-v1 | null | [
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## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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reinforcement-learning | null |
# **Reinforce** Agent playing **CartPole-v1**
This is a trained model of a **Reinforce** agent playing **CartPole-v1** .
To learn to use this model and train yours check Unit 4 of the Deep Reinforcement Learning Course: https://huggingface.co/deep-rl-course/unit4/introduction
| {"tags": ["CartPole-v1", "reinforce", "reinforcement-learning", "custom-implementation", "deep-rl-class"], "model-index": [{"name": "Unit4-Reinforce-CartPole-v2", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "CartPole-v1", "type": "CartPole-v1"}, "metric... | adekhovich/Unit4-Reinforce-CartPole-v2 | null | [
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"reinforce",
"reinforcement-learning",
"custom-implementation",
"deep-rl-class",
"model-index",
"region:us"
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#CartPole-v1 #reinforce #reinforcement-learning #custom-implementation #deep-rl-class #model-index #region-us
|
# Reinforce Agent playing CartPole-v1
This is a trained model of a Reinforce agent playing CartPole-v1 .
To learn to use this model and train yours check Unit 4 of the Deep Reinforcement Learning Course: URL
| [
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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. -->
# chemical-ner-bert-large-uncased-4
This model is a fine-tuned version of [google-bert/bert-large-uncased](https://huggingface.co/... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "google-bert/bert-large-uncased", "model-index": [{"name": "chemical-ner-bert-large-uncased-4", "results": []}]} | shubhamgantayat/chemical-ner-bert-large-uncased-4 | null | [
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"bert",
"token-classification",
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"base_model:google-bert/bert-large-uncased",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-16T08:41:20+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #bert #token-classification #generated_from_trainer #base_model-google-bert/bert-large-uncased #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
| chemical-ner-bert-large-uncased-4
=================================
This model is a fine-tuned version of google-bert/bert-large-uncased on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0536
Model description
-----------------
More information needed
Intended uses & limi... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 4\n* eval\\_batch\\_size: 4\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 3\n* mixed\\_precis... | [
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | relu-ntnu/bart-large-xsum_v3_trained_on_250 | null | [
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"safetensors",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
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"1910.09700"
] | [] | TAGS
#transformers #safetensors #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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object-detection | ultralytics |
<div align="center">
<img width="640" alt="chanelcolgate/chamdiemgianhang-vsk-v2" src="https://huggingface.co/chanelcolgate/chamdiemgianhang-vsk-v2/resolve/main/thumbnail.jpg">
</div>
### Supported Labels
```
['BOM_GEN', 'BOM_JUN', 'BOM_KID', 'BOM_SAC', 'BOM_VTG', 'BOM_YTV', 'HOP_FEJ', 'HOP_FRE', 'HOP_JUN', 'HOP_P... | {"library_name": "ultralytics", "tags": ["ultralyticsplus", "yolov8", "ultralytics", "yolo", "vision", "object-detection", "pytorch"], "datasets": ["chanelcolgate/yenthienviet"], "library_version": "8.0.239", "inference": false, "model-index": [{"name": "chanelcolgate/chamdiemgianhang-vsk-v2", "results": [{"task": {"ty... | chanelcolgate/chamdiemgianhang-vsk-v2 | null | [
"ultralytics",
"tensorboard",
"v8",
"ultralyticsplus",
"yolov8",
"yolo",
"vision",
"object-detection",
"pytorch",
"dataset:chanelcolgate/yenthienviet",
"model-index",
"has_space",
"region:us"
] | null | 2024-04-16T08:42:19+00:00 | [] | [] | TAGS
#ultralytics #tensorboard #v8 #ultralyticsplus #yolov8 #yolo #vision #object-detection #pytorch #dataset-chanelcolgate/yenthienviet #model-index #has_space #region-us
|
<div align="center">
<img width="640" alt="chanelcolgate/chamdiemgianhang-vsk-v2" src="URL
</div>
### Supported Labels
### How to use
- Install ultralyticsplus:
- Load model and perform prediction:
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] |
question-answering | transformers |
<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete it, then remove this comment. -->
# NguyenTuanHungThungg/my_awesome_qa_model_thungg
This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://hug... | {"license": "apache-2.0", "tags": ["generated_from_keras_callback"], "base_model": "distilbert/distilbert-base-uncased", "model-index": [{"name": "NguyenTuanHungThungg/my_awesome_qa_model_thungg", "results": []}]} | NguyenTuanHungThungg/my_awesome_qa_model_thungg | null | [
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"license:apache-2.0",
"endpoints_compatible",
"region:us"
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#transformers #tf #distilbert #question-answering #generated_from_keras_callback #base_model-distilbert/distilbert-base-uncased #license-apache-2.0 #endpoints_compatible #region-us
| NguyenTuanHungThungg/my\_awesome\_qa\_model\_thungg
===================================================
This model is a fine-tuned version of distilbert/distilbert-base-uncased on an unknown dataset.
It achieves the following results on the evaluation set:
* Train Loss: 1.5934
* Validation Loss: 1.7356
* Epoch: 2
... | [
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text-generation | transformers |
## Antler-RP-ja-westlake-chatvector
日本語のNSFWモデルになることを目的として作成しました。
## モデル概要
優秀なRPモデルである[Aratako/Antler-7B-RP](https://huggingface.co/Aratako/Antler-7B-RP)をベースに、ChatVector手法を用いてRP能力およびNSFW能力強化しています。
ChatVector手法には[senseable/WestLake-7B-v2](https://huggingface.co/senseable/WestLake-7B-v2)を用いています。
## モデルテンプレート
mistral形式... | {"language": ["ja"], "license": "apache-2.0", "tags": ["not-for-all-audiences"], "pipeline_tag": "text-generation"} | soramikaduki/Antler-RP-ja-westlake-chatvector | null | [
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"mistral",
"text-generation",
"not-for-all-audiences",
"ja",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-16T08:45:13+00:00 | [] | [
"ja"
] | TAGS
#transformers #safetensors #mistral #text-generation #not-for-all-audiences #ja #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
## Antler-RP-ja-westlake-chatvector
日本語のNSFWモデルになることを目的として作成しました。
## モデル概要
優秀なRPモデルであるAratako/Antler-7B-RPをベースに、ChatVector手法を用いてRP能力およびNSFW能力強化しています。
ChatVector手法にはsenseable/WestLake-7B-v2を用いています。
## モデルテンプレート
mistral形式で入れるのが好ましい結果になりやすいと思います。
検証は以下のテンプレートで行いました。
## Chatvector適用のコード
## 参考文献
LightChatAssistant 2... | [
"## Antler-RP-ja-westlake-chatvector\n日本語のNSFWモデルになることを目的として作成しました。",
"## モデル概要\n優秀なRPモデルであるAratako/Antler-7B-RPをベースに、ChatVector手法を用いてRP能力およびNSFW能力強化しています。\nChatVector手法にはsenseable/WestLake-7B-v2を用いています。",
"## モデルテンプレート\nmistral形式で入れるのが好ましい結果になりやすいと思います。\n検証は以下のテンプレートで行いました。",
"## Chatvector適用のコード",
"## 参考文... | [
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"## Antler-RP-ja-westlake-chatvector\n日本語のNSFWモデルになることを目的として作成しました。",
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reinforcement-learning | stable-baselines3 |
# **DQN** Agent playing **SpaceInvadersNoFrameskip-v4**
This is a trained model of a **DQN** agent playing **SpaceInvadersNoFrameskip-v4**
using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3)
and the [RL Zoo](https://github.com/DLR-RM/rl-baselines3-zoo).
The RL Zoo is a training framewor... | {"library_name": "stable-baselines3", "tags": ["SpaceInvadersNoFrameskip-v4", "deep-reinforcement-learning", "reinforcement-learning", "stable-baselines3"], "model-index": [{"name": "DQN", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "SpaceInvadersNoFram... | lacknerm/dqn-SpaceInvadersNoFrameskip-v4 | null | [
"stable-baselines3",
"SpaceInvadersNoFrameskip-v4",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | null | 2024-04-16T08:45:13+00:00 | [] | [] | TAGS
#stable-baselines3 #SpaceInvadersNoFrameskip-v4 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
# DQN Agent playing SpaceInvadersNoFrameskip-v4
This is a trained model of a DQN agent playing SpaceInvadersNoFrameskip-v4
using the stable-baselines3 library
and the RL Zoo.
The RL Zoo is a training framework for Stable Baselines3
reinforcement learning agents,
with hyperparameter optimization and pre-trained agents... | [
"# DQN Agent playing SpaceInvadersNoFrameskip-v4\nThis is a trained model of a DQN agent playing SpaceInvadersNoFrameskip-v4\nusing the stable-baselines3 library\nand the RL Zoo.\n\nThe RL Zoo is a training framework for Stable Baselines3\nreinforcement learning agents,\nwith hyperparameter optimization and pre-tra... | [
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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. -->
# Dist5-small-usFlood
This model is a fine-tuned version of Dist5 on an unknown dataset.
It achieves the following results on the ... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "google-t5/t5-small", "model-index": [{"name": "Dist5-small-usFlood", "results": []}]} | Piyyussh/Dist5-small-usFlood | null | [
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"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-16T08:46:21+00:00 | [] | [] | TAGS
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|
# Dist5-small-usFlood
This model is a fine-tuned version of Dist5 on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6774
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information ... | [
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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. -->
# PolizzeDonut-CR-Cluster3di7-SenzaPre-3Epochs
This model is a fine-tuned version of [naver-clova-ix/donut-base](https://huggingfa... | {"license": "mit", "tags": ["generated_from_trainer"], "datasets": ["imagefolder"], "base_model": "naver-clova-ix/donut-base", "model-index": [{"name": "PolizzeDonut-CR-Cluster3di7-SenzaPre-3Epochs", "results": []}]} | tedad09/PolizzeDonut-CR-Cluster3di7-SenzaPre-3Epochs | 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 | 2024-04-16T08:47:33+00:00 | [] | [] | TAGS
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|
# PolizzeDonut-CR-Cluster3di7-SenzaPre-3Epochs
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 pr... | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": ["trl", "sft"]} | kai-oh/mistral-7b-ift-v8-hf | null | [
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"text-generation-inference",
"region:us"
] | null | 2024-04-16T08:49:08+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #mistral #text-generation #trl #sft #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# ruBert-base-sberquad-0.02-len_2-filtered-v2
This model is a fine-tuned version of [ai-forever/ruBert-base](https://huggingface.c... | {"license": "apache-2.0", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "ai-forever/ruBert-base", "model-index": [{"name": "ruBert-base-sberquad-0.02-len_2-filtered-v2", "results": []}]} | Shalazary/ruBert-base-sberquad-0.02-len_2-filtered-v2 | null | [
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"license:apache-2.0",
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|
# ruBert-base-sberquad-0.02-len_2-filtered-v2
This model is a fine-tuned version of ai-forever/ruBert-base on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
... | [
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"## Intended uses & limitations\n\nMore information needed",
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null | null | # 🚀 Singular Values-Driven Automated Filter Pruning Release
🎉 We are thrilled to announce the first official release of our project, featuring a collection of baseline and compressed checkpoints to support efficient network compression.
## ✔️ Available Checkpoints:
- VGG-16-BN/CIFAR-10
- ResNet-56/110/CIFAR-10
- Den... | {"license": "apache-2.0"} | pvtien96/SLIMMING | null | [
"license:apache-2.0",
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#license-apache-2.0 #region-us
| # Singular Values-Driven Automated Filter Pruning Release
We are thrilled to announce the first official release of our project, featuring a collection of baseline and compressed checkpoints to support efficient network compression.
## ️ Available Checkpoints:
- VGG-16-BN/CIFAR-10
- ResNet-56/110/CIFAR-10
- DenseNet... | [
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text-to-audio | 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. -->
# speecht5_finetuned_voxpopuli_nl
This model is a fine-tuned version of [microsoft/speecht5_tts](https://huggingface.co/microsoft/... | {"license": "mit", "tags": ["generated_from_trainer"], "datasets": ["voxpopuli"], "base_model": "microsoft/speecht5_tts", "model-index": [{"name": "speecht5_finetuned_voxpopuli_nl", "results": []}]} | ahkd/speecht5_finetuned_voxpopuli_nl | null | [
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| speecht5\_finetuned\_voxpopuli\_nl
==================================
This model is a fine-tuned version of microsoft/speecht5\_tts on the voxpopuli dataset.
It achieves the following results on the evaluation set:
* Loss: 0.4464
Model description
-----------------
More information needed
Intended uses & limi... | [
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text-generation | transformers |
<p align="left">
<img src="https://huggingface.co/crimsonjoo/Neversleep-11B-v0.1/resolve/main/neversleep_logo.webp" width="70%"/>
<p>
# "We must sleep, but AI Never Sleeps!"
## Simple-Usage
```python
# number_of_old_tokens is the size of tokenizer before vocab extension. For example, in case of EEVE-Korean... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "upstage/SOLAR-10.7B-v1.0"} | crimsonjoo/Neversleep-11B-v0.1 | null | [
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"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-16T08:55:07+00:00 | [
"2402.14714"
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|
<p align="left">
<img src="URL width="70%"/>
<p>
# "We must sleep, but AI Never Sleeps!"
## Simple-Usage
## About the Model
First of all, Overwhelming gratitude to 'yanolja/EEVE' Model & Team!
This model is a Korean vocabulary-extended version of upstage/SOLAR-10.7B-v1.0, specifically fine-tuned on va... | [
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text-generation | transformers | # slerp_test3
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:
* [JY623/KoSOLAR-10.7B-merge-v3.0](https... | {"license": "apache-2.0", "library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["JY623/KoSOLAR-10.7B-merge-v3.0", "JY623/KoSOLAR-10.7B-merge-v3.3"]} | JY623/KoSOLAR-10.7B-merge-v3.4 | null | [
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"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-16T08:55:56+00:00 | [] | [] | TAGS
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| # slerp_test3
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:
* JY623/KoSOLAR-10.7B-merge-v3.0
* JY623/KoSOLAR-10.7B-merge-v3.3
### Config... | [
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/Noodlz/DolphinLake-7B
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a ... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "base_model": "Noodlz/DolphinLake-7B", "quantized_by": "mradermacher"} | mradermacher/DolphinLake-7B-GGUF | null | [
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"en",
"base_model:Noodlz/DolphinLake-7B",
"license:apache-2.0",
"endpoints_compatible",
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"en"
] | TAGS
#transformers #gguf #en #base_model-Noodlz/DolphinLake-7B #license-apache-2.0 #endpoints_compatible #region-us
| About
-----
static quants of URL
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
Usage
-----
If you are unsure how to use GGUF file... | [] | [
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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": []} | relu-ntnu/bart-large-xsum_v3_trained_on_500 | null | [
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"safetensors",
"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
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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- License... | [
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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": []} | relu-ntnu/bart-large-cnn_v3_trained_on_10 | null | [
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"safetensors",
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- Funded by [optional]:
- Shared by [optional]:
- Model type:
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- License... | [
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null | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# donut_synDB_test
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_synDB_test", "results": []}]} | Donut01/donut_synDB_test | null | [
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"base_model:naver-clova-ix/donut-base",
"license:mit",
"endpoints_compatible",
"region:us"
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| donut\_synDB\_test
==================
This model is a fine-tuned version of naver-clova-ix/donut-base on the imagefolder dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1655
Model description
-----------------
More information needed
Intended uses & limitations
--------------------... | [
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | relu-ntnu/bart-large-cnn_v3_trained_on_25 | null | [
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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
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Developed by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Model type: \n- Language(s)... | [
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text-to-image | diffusers |
# API Inference

## Get API Key
Get API key from [ModelsLab API](http://modelslab.com), No Payment needed.
Replace Key in below code, change **model_id** to "realisticmixmiracle-new"
Coding... | {"license": "creativeml-openrail-m", "tags": ["modelslab.com", "stable-diffusion-api", "text-to-image", "ultra-realistic"], "pinned": true} | stablediffusionapi/realisticmixmiracle-new | null | [
"diffusers",
"modelslab.com",
"stable-diffusion-api",
"text-to-image",
"ultra-realistic",
"license:creativeml-openrail-m",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | null | 2024-04-16T08:58:39+00:00 | [] | [] | TAGS
#diffusers #modelslab.com #stable-diffusion-api #text-to-image #ultra-realistic #license-creativeml-openrail-m #endpoints_compatible #has_space #diffusers-StableDiffusionPipeline #region-us
|
# API Inference
!generated from URL
## Get API Key
Get API key from ModelsLab API, No Payment needed.
Replace Key in below code, change model_id to "realisticmixmiracle-new"
Coding in PHP/Node/Java etc? Have a look at docs for more code examples: View docs
Try model for free: Generate Images
Model link: View ... | [
"# API Inference\n\n!generated from URL",
"## Get API Key\n\nGet API key from ModelsLab API, No Payment needed. \n\nReplace Key in below code, change model_id to \"realisticmixmiracle-new\"\n\nCoding in PHP/Node/Java etc? Have a look at docs for more code examples: View docs\n\nTry model for free: Generate Imag... | [
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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": []} | ferrazzipietro/Llama-2-7b-chat-hf_adapters_en.layer1_8_torch.bfloat16_16_32_0.01_4_0.0002 | null | [
"transformers",
"safetensors",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-04-16T08:59:12+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
"# Model Card for Model ID",
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null | mlx | # Prompting
```python
pip install -U mlx-lm
python -m mlx_lm.generate --model chenhunghan/TAIDE-LX-7B-Chat-mlx-4bit --prompt 'TAIDE可以吃嗎?'
```
# Convert
```
python -m mlx_lm.convert --hf-path taide/TAIDE-LX-7B-Chat -q
``` | {"license": "other", "library_name": "mlx", "license_name": "taide-l-models-community-license-agreement", "license_link": "https://drive.google.com/file/d/1FcUZjbUH6jr4xoCyAronN_slLgcdhEUd/view"} | chenhunghan/TAIDE-LX-7B-Chat-mlx-4bit | null | [
"mlx",
"safetensors",
"llama",
"license:other",
"region:us"
] | null | 2024-04-16T09:00:06+00:00 | [] | [] | TAGS
#mlx #safetensors #llama #license-other #region-us
| # Prompting
# Convert
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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": []} | relu-ntnu/bart-large-cnn_v3_trained_on_50 | null | [
"transformers",
"safetensors",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-04-16T09:00:42+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
"# Model Card for Model ID",
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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. -->
# bartpho-word-base-v3
This model is a fine-tuned version of [vinai/bartpho-word-base](https://huggingface.co/vinai/bartpho-word-b... | {"tags": ["generated_from_trainer"], "metrics": ["bleu"], "base_model": "vinai/bartpho-word-base", "model-index": [{"name": "bartpho-word-base-v3", "results": []}]} | long292/bartpho-word-base-v3 | null | [
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"text2text-generation",
"generated_from_trainer",
"base_model:vinai/bartpho-word-base",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-16T09:01:04+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #mbart #text2text-generation #generated_from_trainer #base_model-vinai/bartpho-word-base #autotrain_compatible #endpoints_compatible #region-us
| bartpho-word-base-v3
====================
This model is a fine-tuned version of vinai/bartpho-word-base on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 2.4210
* Bleu: 18.4617
* Gen Len: 17.2297
Model description
-----------------
More information needed
Intended uses & li... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 1\n* eval\\_batch\\_size: 1\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 1",
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reinforcement-learning | stable-baselines3 |
# **PPO** Agent playing **sawyer_kitaro_lift-v0**
This is a trained model of a **PPO** agent playing **sawyer_kitaro_lift-v0**
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 hu... | {"library_name": "stable-baselines3", "tags": ["sawyer_kitaro_lift-v0", "deep-reinforcement-learning", "reinforcement-learning", "stable-baselines3"], "model-index": [{"name": "PPO", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "sawyer_kitaro_lift-v0", "... | davidkh/ppo-sawyer_kitaro_lift-v0 | null | [
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"sawyer_kitaro_lift-v0",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
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#stable-baselines3 #sawyer_kitaro_lift-v0 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
# PPO Agent playing sawyer_kitaro_lift-v0
This is a trained model of a PPO agent playing sawyer_kitaro_lift-v0
using the stable-baselines3 library.
## Usage (with Stable-baselines3)
TODO: Add your code
| [
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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. -->
# GUE_EMP_H3K79me3-seqsight_16384_512_22M-L32_all
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_16384_512_22M]... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_16384_512_22M", "model-index": [{"name": "GUE_EMP_H3K79me3-seqsight_16384_512_22M-L32_all", "results": []}]} | mahdibaghbanzadeh/GUE_EMP_H3K79me3-seqsight_16384_512_22M-L32_all | null | [
"peft",
"safetensors",
"generated_from_trainer",
"base_model:mahdibaghbanzadeh/seqsight_16384_512_22M",
"region:us"
] | null | 2024-04-16T09:04:14+00:00 | [] | [] | TAGS
#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_16384_512_22M #region-us
| GUE\_EMP\_H3K79me3-seqsight\_16384\_512\_22M-L32\_all
=====================================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_16384\_512\_22M on the mahdibaghbanzadeh/GUE\_EMP\_H3K79me3 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.6291
*... | [
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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": []} | samyukthacodes/mental-health-mistral-7b-instructv0.2-finetuned-V2_merged | 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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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": []} | relu-ntnu/bart-large-cnn_v3_trained_on_100 | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- Funded by [optional]:
- Shared by [optional]:
- Model type:
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": ["trl", "sft"]} | dbaek111/Llama-2-7b-chat-hf-Elon_Interview_70-merged | null | [
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"arxiv:1910.09700",
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"text-generation-inference",
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- Funded by [optional]:
- Shared by [optional]:
- Model type:
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- License... | [
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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": []} | ferrazzipietro/Llama-2-7b-chat-hf_adapters_en.layer1_8_torch.bfloat16_16_64_0.01_2_0.0002 | null | [
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# GUE_EMP_H3K4me1-seqsight_16384_512_22M-L32_all
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_16384_512_22M](... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_16384_512_22M", "model-index": [{"name": "GUE_EMP_H3K4me1-seqsight_16384_512_22M-L32_all", "results": []}]} | mahdibaghbanzadeh/GUE_EMP_H3K4me1-seqsight_16384_512_22M-L32_all | null | [
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#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_16384_512_22M #region-us
| GUE\_EMP\_H3K4me1-seqsight\_16384\_512\_22M-L32\_all
====================================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_16384\_512\_22M on the mahdibaghbanzadeh/GUE\_EMP\_H3K4me1 dataset.
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* Loss: 0.6724
* F1... | [
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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": []} | hi000000/polyglot-ko-insta-chat-5.8b | null | [
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text-generation | transformers |
# Model Card for Model ID
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
MoM: Mixture of Mixture
This Model is a first test to combine [Jamba](https://huggingface.co/ai21labs/Jamba-v0.1) architecture with mixture of attention head and mixture of depth.
Mamba and a... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["moe", "moah", "mod"], "datasets": ["Locutusque/UltraTextbooks"]} | Ostixe360/MoMv3-M-A-mixed-precision | null | [
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# GUE_EMP_H3K36me3-seqsight_16384_512_22M-L32_all
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_16384_512_22M]... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_16384_512_22M", "model-index": [{"name": "GUE_EMP_H3K36me3-seqsight_16384_512_22M-L32_all", "results": []}]} | mahdibaghbanzadeh/GUE_EMP_H3K36me3-seqsight_16384_512_22M-L32_all | null | [
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| GUE\_EMP\_H3K36me3-seqsight\_16384\_512\_22M-L32\_all
=====================================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_16384\_512\_22M on the mahdibaghbanzadeh/GUE\_EMP\_H3K36me3 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.8524
*... | [
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null | peft | ## Training procedure
The following `bitsandbytes` quantization config was used during training:
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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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reinforcement-learning | stable-baselines3 |
# **DQN** Agent playing **SpaceInvadersNoFrameskip-v4**
This is a trained model of a **DQN** agent playing **SpaceInvadersNoFrameskip-v4**
using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3)
and the [RL Zoo](https://github.com/DLR-RM/rl-baselines3-zoo).
The RL Zoo is a training framewor... | {"library_name": "stable-baselines3", "tags": ["SpaceInvadersNoFrameskip-v4", "deep-reinforcement-learning", "reinforcement-learning", "stable-baselines3"], "model-index": [{"name": "DQN", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "SpaceInvadersNoFram... | bhavishya02/dqn-SpaceInvadersNoFrameskip-v4 | null | [
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This is a trained model of a DQN agent playing SpaceInvadersNoFrameskip-v4
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image-to-image | null |
# Inpainting with Perturbed-Attention Guidance
[Project](https://ku-cvlab.github.io/Perturbed-Attention-Guidance/) / [arXiv](https://arxiv.org/abs/2403.17377) / [GitHub](https://github.com/KU-CVLAB/Perturbed-Attention-Guidance)
This repository is based on [Diffusers](https://huggingface.co/docs/diffusers/index).
Th... | {"language": ["en"], "tags": ["Diffusion Models", "Stable Diffusion", "Perturbed-Attention Guidance", "PAG"], "pipeline_tag": "image-to-image"} | hyoungwoncho/sd_perturbed_attention_guidance_inpaint | null | [
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Project / arXiv / GitHub
This repository is based on Diffusers.
The pipeline is a modification of StableDiffusionPipeline to support inpainting with Perturbed-Attention Guidance (PAG). Please refer to "Inpainting" section of an official document for details.
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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": []} | relu-ntnu/bart-large-cnn_v3_trained_on_250 | null | [
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token-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# NLP_projet
This model is a fine-tuned version of [almanach/camembert-base](https://huggingface.co/almanach/camembert-base) on th... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["precision", "recall", "f1", "accuracy"], "base_model": "almanach/camembert-base", "model-index": [{"name": "NLP_projet", "results": []}]} | clairedhx/NLP_projet | null | [
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"generated_from_trainer",
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"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
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#transformers #safetensors #camembert #token-classification #generated_from_trainer #base_model-almanach/camembert-base #license-mit #autotrain_compatible #endpoints_compatible #region-us
| NLP\_projet
===========
This model is a fine-tuned version of almanach/camembert-base on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.5036
* Precision: 0.9590
* Recall: 0.9634
* F1: 0.9612
* Accuracy: 0.9636
Model description
-----------------
More information needed
In... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 16\n* eval\\_batch\\_size: 16\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 2",
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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. -->
# token-classification-llmlingua2-xlm-roberta-bctn-852_sample-5_epoch_best_data
This model is a fine-tuned version of [FacebookAI/... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "FacebookAI/xlm-roberta-large", "model-index": [{"name": "token-classification-llmlingua2-xlm-roberta-bctn-852_sample-5_epoch_best_data", "results": []}]} | qminh369/token-classification-llmlingua2-xlm-roberta-bctn-852_sample-5_epoch_best_data | null | [
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"license:mit",
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| token-classification-llmlingua2-xlm-roberta-bctn-852\_sample-5\_epoch\_best\_data
=================================================================================
This model is a fine-tuned version of FacebookAI/xlm-roberta-large on the None dataset.
It achieves the following results on the evaluation set:
* Loss:... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 1e-05\n* train\\_batch\\_size: 1\n* eval\\_batch\\_size: 1\n* seed: 42\n* gradient\\_accumulation\\_steps: 16\n* total\\_train\\_batch\\_size: 16\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=... | [
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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. -->
# CodeBertForCodeCompletion
This model is a fine-tuned version of [microsoft/codebert-base](https://huggingface.co/microsoft/codeb... | {"tags": ["generated_from_trainer"], "base_model": "microsoft/codebert-base", "model-index": [{"name": "CodeBertForCodeCompletion", "results": []}]} | ljcnju/CodeBertForCodeCompletion | null | [
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#transformers #safetensors #roberta #text-generation #generated_from_trainer #base_model-microsoft/codebert-base #autotrain_compatible #endpoints_compatible #region-us
| CodeBertForCodeCompletion
=========================
This model is a fine-tuned version of microsoft/codebert-base on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 1.0893
Model description
-----------------
More information needed
Intended uses & limitations
-------------... | [
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text-generation | peft |
# zephyr-7B-alpha-GPTQ
## Model description
Large language models have achieved groundbreaking success in the field of natural language processing (NLP). However, since these models are generally trained for general-purpose tasks, they may not perform optimally for specific tasks. Therefore, fine-tuning these large ... | {"license": "mit", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "datasets": ["bitext/Bitext-customer-support-llm-chatbot-training-dataset"], "base_model": "TheBloke/zephyr-7B-alpha-GPTQ", "pipeline_tag": "text-generation", "model-index": [{"name": "zephyr-support-chatbot", "results": []}]} | anezatra/zephyr-7B-alpha-GPTQ | null | [
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"base_model:TheBloke/zephyr-7B-alpha-GPTQ",
"license:mit",
"region:us"
] | null | 2024-04-16T09:17:26+00:00 | [] | [] | TAGS
#peft #tensorboard #safetensors #trl #sft #generated_from_trainer #text-generation #dataset-bitext/Bitext-customer-support-llm-chatbot-training-dataset #base_model-TheBloke/zephyr-7B-alpha-GPTQ #license-mit #region-us
|
# zephyr-7B-alpha-GPTQ
## 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. -->
# GUE_mouse_0-seqsight_16384_512_22M-L32_all
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_16384_512_22M](http... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_16384_512_22M", "model-index": [{"name": "GUE_mouse_0-seqsight_16384_512_22M-L32_all", "results": []}]} | mahdibaghbanzadeh/GUE_mouse_0-seqsight_16384_512_22M-L32_all | null | [
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"safetensors",
"generated_from_trainer",
"base_model:mahdibaghbanzadeh/seqsight_16384_512_22M",
"region:us"
] | null | 2024-04-16T09:19:00+00:00 | [] | [] | TAGS
#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_16384_512_22M #region-us
| GUE\_mouse\_0-seqsight\_16384\_512\_22M-L32\_all
================================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_16384\_512\_22M on the mahdibaghbanzadeh/GUE\_mouse\_0 dataset.
It achieves the following results on the evaluation set:
* Loss: 1.6085
* F1 Score: 0.59... | [
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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... | Licwit/ppo-LunarLander-v2 | null | [
"stable-baselines3",
"LunarLander-v2",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | null | 2024-04-16T09:19:11+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": []} | ferrazzipietro/Llama-2-7b-chat-hf_adapters_en.layer1_8_torch.bfloat16_32_32_0.01_2_0.0002 | null | [
"transformers",
"safetensors",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-04-16T09:19:37+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- 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. -->
# zephyr-7b-gemma-sft-african-ultrachat-5k
This model is a fine-tuned version of [google/gemma-7b](https://huggingface.co/google/g... | {"license": "gemma", "tags": ["alignment-handbook", "trl", "sft", "generated_from_trainer", "trl", "sft", "generated_from_trainer"], "datasets": ["masakhane/african-ultrachat", "israel/untrachat_en"], "base_model": "google/gemma-7b", "model-index": [{"name": "zephyr-7b-gemma-sft-african-ultrachat-5k", "results": []}]} | masakhane/zephyr-7b-gemma-sft-african-ultrachat-5k | null | [
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"endpoin... | null | 2024-04-16T09:19:47+00:00 | [] | [] | TAGS
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| zephyr-7b-gemma-sft-african-ultrachat-5k
========================================
This model is a fine-tuned version of google/gemma-7b on the masakhane/african-ultrachat and the israel/untrachat\_en datasets.
It achieves the following results on the evaluation set:
* Loss: 1.1356
Model description
--------------... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 1e-05\n* train\\_batch\\_size: 1\n* eval\\_batch\\_size: 1\n* seed: 42\n* distributed\\_type: multi-GPU\n* num\\_devices: 8\n* gradient\\_accumulation\\_steps: 2\n* total\\_train\\_batch\\_size: 16\n*... | [
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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. -->
# PolizzeDonut-CR-Cluster1di7-SenzaPre-3Epochs
This model is a fine-tuned version of [naver-clova-ix/donut-base](https://huggingfa... | {"license": "mit", "tags": ["generated_from_trainer"], "datasets": ["imagefolder"], "base_model": "naver-clova-ix/donut-base", "model-index": [{"name": "PolizzeDonut-CR-Cluster1di7-SenzaPre-3Epochs", "results": []}]} | tedad09/PolizzeDonut-CR-Cluster1di7-SenzaPre-3Epochs | null | [
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"vision-encoder-decoder",
"generated_from_trainer",
"dataset:imagefolder",
"base_model:naver-clova-ix/donut-base",
"license:mit",
"endpoints_compatible",
"region:us"
] | null | 2024-04-16T09:19:51+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
|
# PolizzeDonut-CR-Cluster1di7-SenzaPre-3Epochs
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 pr... | [
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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. -->
# outputs
This model is a fine-tuned version of [unsloth/mistral-7b-bnb-4bit](https://huggingface.co/unsloth/mistral-7b-bnb-4bit) ... | {"license": "apache-2.0", "library_name": "peft", "tags": ["trl", "sft", "unsloth", "unsloth", "unsloth", "generated_from_trainer"], "base_model": "unsloth/mistral-7b-bnb-4bit", "model-index": [{"name": "outputs", "results": []}]} | rahulrouterabbit/outputs | null | [
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"generated_from_trainer",
"base_model:unsloth/mistral-7b-bnb-4bit",
"license:apache-2.0",
"region:us"
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|
# outputs
This model is a fine-tuned version of unsloth/mistral-7b-bnb-4bit on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
T... | [
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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... | DNA-55/ppo-LunarLander-v2 | null | [
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"reinforcement-learning",
"model-index",
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#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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] |
text2text-generation | transformers |
# vietnamese-correction-v2
## Usage
```python
from transformers import pipeline
corrector = pipeline("text2text-generation", model="bmd1905/vietnamese-correction-v2")
```
```python
# Example
MAX_LENGTH = 512
# Define the text samples
texts = [
"côn viec kin doanh thì rất kho khan nên toi quyết dinh chuyển sang ... | {"language": ["vi"], "license": "apache-2.0", "tags": ["generated_from_trainer"], "model-index": [{"name": "vietnamese-correction-v2", "results": []}]} | bmd1905/vietnamese-correction-v2 | null | [
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|
# vietnamese-correction-v2
## Usage
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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. -->
# GUE_mouse_1-seqsight_16384_512_22M-L32_all
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_16384_512_22M](http... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_16384_512_22M", "model-index": [{"name": "GUE_mouse_1-seqsight_16384_512_22M-L32_all", "results": []}]} | mahdibaghbanzadeh/GUE_mouse_1-seqsight_16384_512_22M-L32_all | null | [
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#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_16384_512_22M #region-us
| GUE\_mouse\_1-seqsight\_16384\_512\_22M-L32\_all
================================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_16384\_512\_22M on the mahdibaghbanzadeh/GUE\_mouse\_1 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.4199
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null | transformers |
# Uploaded model
- **Developed by:** codesagar
- **License:** apache-2.0
- **Finetuned from model :** unsloth/mistral-7b-bnb-4bit
This mistral model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unslo... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl"], "base_model": "unsloth/mistral-7b-bnb-4bit"} | codesagar/prompt-guard-classification-v3 | null | [
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|
# Uploaded model
- Developed by: codesagar
- License: apache-2.0
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null | transformers |
# Uploaded model
- **Developed by:** codesagar
- **License:** apache-2.0
- **Finetuned from model :** unsloth/mistral-7b-bnb-4bit
This mistral model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unslo... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl"], "base_model": "unsloth/mistral-7b-bnb-4bit"} | codesagar/prompt-guard-reasoning-v3 | null | [
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|
# Uploaded model
- Developed by: codesagar
- License: apache-2.0
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This mistral model was trained 2x faster with Unsloth and Huggingface's TRL library.
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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": []} | ferrazzipietro/Llama-2-7b-chat-hf_adapters_en.layer1_8_torch.bfloat16_32_32_0.01_4_0.0002 | null | [
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### Model Description
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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. -->
# PolizzeDonut-CR-Cluster2di7-SenzaPre-3Epochs
This model is a fine-tuned version of [naver-clova-ix/donut-base](https://huggingfa... | {"license": "mit", "tags": ["generated_from_trainer"], "datasets": ["imagefolder"], "base_model": "naver-clova-ix/donut-base", "model-index": [{"name": "PolizzeDonut-CR-Cluster2di7-SenzaPre-3Epochs", "results": []}]} | tedad09/PolizzeDonut-CR-Cluster2di7-SenzaPre-3Epochs | null | [
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|
# PolizzeDonut-CR-Cluster2di7-SenzaPre-3Epochs
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
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feature-extraction | transformers | # jina-website-100-64-16-BAAI_bge-small-en-v1.5-50_9062874564
## Model Description
jina-website-100-64-16-BAAI_bge-small-en-v1.5-50_9062874564 is a fine-tuned version of BAAI/bge-small-en-v1.5 designed for a specific domain.
## Use Case
This model is designed to support various applications in natural language proce... | {} | florianhoenicke/jina-website-100-64-16-BAAI_bge-small-en-v1.5-50_9062874564 | null | [
"transformers",
"safetensors",
"bert",
"feature-extraction",
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"region:us"
] | null | 2024-04-16T09:27:06+00:00 | [] | [] | TAGS
#transformers #safetensors #bert #feature-extraction #endpoints_compatible #region-us
| # jina-website-100-64-16-BAAI_bge-small-en-v1.5-50_9062874564
## Model Description
jina-website-100-64-16-BAAI_bge-small-en-v1.5-50_9062874564 is a fine-tuned version of BAAI/bge-small-en-v1.5 designed for a specific domain.
## Use Case
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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. -->
# leagaleasy-mistral-7b-instruct-v0.2-v1
This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.2](https://huggin... | {"license": "apache-2.0", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "datasets": ["generator"], "base_model": "mistralai/Mistral-7B-Instruct-v0.2", "model-index": [{"name": "leagaleasy-mistral-7b-instruct-v0.2-v1", "results": []}]} | allanctan-ai/leagaleasy-mistral-7b-instruct-v0.2-v1 | null | [
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"base_model:mistralai/Mistral-7B-Instruct-v0.2",
"license:apache-2.0",
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|
# leagaleasy-mistral-7b-instruct-v0.2-v1
This model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.2 on the generator dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training p... | [
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# ruBert-base-sberquad-0.02-len_2-filtered-negative-v2
This model is a fine-tuned version of [ai-forever/ruBert-base](https://hugg... | {"license": "apache-2.0", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "ai-forever/ruBert-base", "model-index": [{"name": "ruBert-base-sberquad-0.02-len_2-filtered-negative-v2", "results": []}]} | Shalazary/ruBert-base-sberquad-0.02-len_2-filtered-negative-v2 | null | [
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|
# ruBert-base-sberquad-0.02-len_2-filtered-negative-v2
This model is a fine-tuned version of ai-forever/ruBert-base on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training pr... | [
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null | null | <!-- header start -->
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text-generation | transformers |
# Model Card for Model ID
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### Model Description
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feature-extraction | transformers | # jina-website-100-64-16-BAAI_bge-small-en-v1.5-1000_9062874564
## Model Description
jina-website-100-64-16-BAAI_bge-small-en-v1.5-1000_9062874564 is a fine-tuned version of BAAI/bge-small-en-v1.5 designed for a specific domain.
## Use Case
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## Model Description
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null | transformers | ## About
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static quants of https://huggingface.co/KaeriJenti/kaori-72b-v1
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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
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null | transformers |
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## Model Details
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# ruBert-base-sberquad-0.01-len_3-filtered
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More information needed
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More information needed
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More information needed
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null | transformers |
# Model Card for Model ID
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null | transformers |
# Model Card for Model ID
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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
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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 generate... | {"library_name": "transformers", "tags": []} | tomaszki/stablelm-36 | null | [
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# bloomz-560m-rag-2
This model is a fine-tuned version of [bigscience/bloomz-560m](https://huggingface.co/bigscience/bloomz-560m) ... | {"license": "bigscience-bloom-rail-1.0", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "bigscience/bloomz-560m", "model-index": [{"name": "bloomz-560m-rag-2", "results": []}]} | jantigny/bloomz-560m-rag-2 | null | [
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|
# bloomz-560m-rag-2
This model is a fine-tuned version of bigscience/bloomz-560m 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... | [
"# bloomz-560m-rag-2\n\nThis model is a fine-tuned version of bigscience/bloomz-560m on the None dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information needed",
"## Training procedure",
... | [
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text-generation | transformers |
<p style="font-size:20px;" align="center">
🏠 <a href="https://wizardlm.github.io/WizardLM2" target="_blank">WizardLM-2 Release Blog</a> </p>
<p align="center">
🤗 <a href="https://huggingface.co/collections/microsoft/wizardlm-2-661d403f71e6c8257dbd598a" target="_blank">HF Repo</a> •🐱 <a href="https://github.com/v... | {"license": "apache-2.0"} | Gokuldaskumar/wizardlm_2 | null | [
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|
<p style="font-size:20px;" align="center">
<a href="URL target="_blank">WizardLM-2 Release Blog</a> </p>
<p align="center">
<a href="URL target="_blank">HF Repo</a> • <a href="URL target="_blank">Github Repo</a> • <a href="URL target="_blank">Twitter</a> • <a href="URL target="_blank">[WizardLM]</a> • <a hre... | [
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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": []} | OwOOwO/dumbo-krillin13 | 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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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"]} | Rudolph314/ppo-SnowballTarget | null | [
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|
# 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... | [
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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": []} | tomaszki/stablelm-36-a | null | [
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"arxiv:1910.09700",
"autotrain_compatible",
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"region:us"
] | null | 2024-04-16T09:38:53+00:00 | [
"1910.09700"
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#transformers #safetensors #stablelm #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- Shared by [optional]:
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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. -->
# Trial1-phi2
This model is a fine-tuned version of [microsoft/phi-2](https://huggingface.co/microsoft/phi-2) on the None dataset.... | {"license": "mit", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "microsoft/phi-2", "model-index": [{"name": "Trial1-phi2", "results": []}]} | Spophale/Trial1-phi2 | null | [
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|
# Trial1-phi2
This model is a fine-tuned version of microsoft/phi-2 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 followi... | [
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text-generation | transformers |
# Mistral-7B-Instruct-v0.2-GGUF
New batch of quantized Mistral-7B-Instruct-v0.2 models using recent versions of llama.cpp.
| {"license": "apache-2.0", "library_name": "transformers", "model_name": "Mistral 7B Instruct v0.2", "base_model": "mistralai/Mistral-7B-Instruct-v0.2", "pipeline_tag": "text-generation", "model_creator": "Mistral AI_", "model_type": "mistral", "prompt_template": "<s>[INST] {prompt} [/INST] ", "inference": false} | jpodivin/Mistral-7B-Instruct-v0.2-GGUF | null | [
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|
# Mistral-7B-Instruct-v0.2-GGUF
New batch of quantized Mistral-7B-Instruct-v0.2 models using recent versions of 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. -->
# fine_tuned_model_2
This model is a fine-tuned version of [albert/albert-base-v2](https://huggingface.co/albert/albert-base-v2) o... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "albert/albert-base-v2", "model-index": [{"name": "fine_tuned_model_2", "results": []}]} | KalaiselvanD/fine_tuned_model_2 | null | [
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| fine\_tuned\_model\_2
=====================
This model is a fine-tuned version of albert/albert-base-v2 on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1628
* Accuracy: 0.9550
Model description
-----------------
More information needed
Intended uses & limitations
----... | [
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | ferrazzipietro/Llama-2-7b-chat-hf_adapters_en.layer1_8_torch.bfloat16_32_64_0.01_4_0.0002 | null | [
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# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- Funded by [optional]:
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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. -->
# PolizzeDonut-CR-Cluster4di7-SenzaPre-3Epochs
This model is a fine-tuned version of [naver-clova-ix/donut-base](https://huggingfa... | {"license": "mit", "tags": ["generated_from_trainer"], "datasets": ["imagefolder"], "base_model": "naver-clova-ix/donut-base", "model-index": [{"name": "PolizzeDonut-CR-Cluster4di7-SenzaPre-3Epochs", "results": []}]} | tedad09/PolizzeDonut-CR-Cluster4di7-SenzaPre-3Epochs | null | [
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|
# PolizzeDonut-CR-Cluster4di7-SenzaPre-3Epochs
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
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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. -->
# GUE_mouse_4-seqsight_16384_512_22M-L32_all
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_16384_512_22M](http... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_16384_512_22M", "model-index": [{"name": "GUE_mouse_4-seqsight_16384_512_22M-L32_all", "results": []}]} | mahdibaghbanzadeh/GUE_mouse_4-seqsight_16384_512_22M-L32_all | null | [
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] | null | 2024-04-16T09:43:03+00:00 | [] | [] | TAGS
#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_16384_512_22M #region-us
| GUE\_mouse\_4-seqsight\_16384\_512\_22M-L32\_all
================================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_16384\_512\_22M on the mahdibaghbanzadeh/GUE\_mouse\_4 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.7293
* F1 Score: 0.58... | [
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... | [
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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": []} | hi000000/polyglot-ko-insta-5.8b | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- Funded by [optional]:
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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. -->
# model_hh_shp2_dpo9
This model is a fine-tuned version of [meta-llama/Llama-2-7b-chat-hf](https://huggingface.co/meta-llama/Llama... | {"library_name": "peft", "tags": ["trl", "dpo", "generated_from_trainer"], "base_model": "meta-llama/Llama-2-7b-chat-hf", "model-index": [{"name": "model_hh_shp2_dpo9", "results": []}]} | guoyu-zhang/model_hh_shp2_dpo9 | null | [
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#peft #safetensors #trl #dpo #generated_from_trainer #base_model-meta-llama/Llama-2-7b-chat-hf #region-us
| model\_hh\_shp2\_dpo9
=====================
This model is a fine-tuned version of meta-llama/Llama-2-7b-chat-hf on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 3.7428
* Rewards/chosen: -0.9061
* Rewards/rejected: -2.4348
* Rewards/accuracies: 0.5100
* Rewards/margins: 1.5287
... | [
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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. -->
# V0415MA3plus
This model is a fine-tuned version of [microsoft/phi-2](https://huggingface.co/microsoft/phi-2) on an unknown datas... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "microsoft/phi-2", "model-index": [{"name": "V0415MA3plus", "results": []}]} | Litzy619/V0415MA3plus | null | [
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"license:mit",
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#safetensors #generated_from_trainer #base_model-microsoft/phi-2 #license-mit #region-us
| V0415MA3plus
============
This model is a fine-tuned version of microsoft/phi-2 on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0764
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More information ... | [
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summarization | 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. -->
# mbart-large-50-finetuned-mr-sum-finetuned-hindi
This model is a fine-tuned version of [october-sd/mbart-large-50-finetuned-mr-su... | {"license": "mit", "tags": ["summarization", "generated_from_trainer"], "base_model": "october-sd/mbart-large-50-finetuned-mr-sum", "model-index": [{"name": "mbart-large-50-finetuned-mr-sum-finetuned-hindi", "results": []}]} | october-sd/mbart-large-50-finetuned-mr-sum-finetuned-hindi | null | [
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| mbart-large-50-finetuned-mr-sum-finetuned-hindi
===============================================
This model is a fine-tuned version of october-sd/mbart-large-50-finetuned-mr-sum on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 1.9019
Model description
-----------------
More i... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5.6e-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 | 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. -->
# GUE_mouse_3-seqsight_16384_512_22M-L32_all
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_16384_512_22M](http... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_16384_512_22M", "model-index": [{"name": "GUE_mouse_3-seqsight_16384_512_22M-L32_all", "results": []}]} | mahdibaghbanzadeh/GUE_mouse_3-seqsight_16384_512_22M-L32_all | null | [
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"generated_from_trainer",
"base_model:mahdibaghbanzadeh/seqsight_16384_512_22M",
"region:us"
] | null | 2024-04-16T09:51:05+00:00 | [] | [] | TAGS
#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_16384_512_22M #region-us
| GUE\_mouse\_3-seqsight\_16384\_512\_22M-L32\_all
================================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_16384\_512\_22M on the mahdibaghbanzadeh/GUE\_mouse\_3 dataset.
It achieves the following results on the evaluation set:
* Loss: 3.3822
* F1 Score: 0.66... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005\n* train\\_batch\\_size: 2048\n* eval\\_batch\\_size: 2048\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* training\\_steps: 10000",
... | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | 0x0son0/ml_303 | null | [
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"text-generation",
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"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-16T09:52:25+00:00 | [
"1910.09700"
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#transformers #safetensors #llama #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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