
## Story Generation Using GPT-2 in Hugging Face
This repository provides an example of how to use the GPT-2 language model in Hugging Face for story generation tasks. GPT-2 is a powerful natural language processing model that can generate human-like text, and Hugging Face is a popular open-source library for working with NLP models.

## Requirements
- Python 3.6 or higher
- Hugging Face transformers library
- PyTorch or TensorFlow

## Installation
- Clone this repository: git clone ```https://github.com/BaoToan1704/Deep-Learning/Final%20Project```
- Navigate to the repository directory: ```cd Final Project```
- Install the required libraries: ```pip install -r requirements.txt```

## Usage
- Download the GPT-2 pre-trained model: ```python download_model.py```
- Edit the ```Gpt_2_to_generate_stories.ipynb``` file to include your desired prompt and generate settings.
- Run the ```Gpt_2_to_generate_stories.ipynb file``` to generate text: ```python Gpt_2_to_generate_stories.ipynb```
  
## Customization
You can customize the GPT-2 model and the text generation settings by editing the ```Gpt_2_to_generate_stories.ipynb``` file. For example, you can change the prompt text, the number of tokens to generate, the temperature setting for the model, and more.

## References
- Hugging Face Transformers library: ```https://github.com/huggingface/transformers```
- GPT-2 model by me: ```https://huggingface.co/baotoan2002/GPT-2```
- OpenAI GPT-2 model: ```https://openai.com/models/gpt-2/```

## License
This repository is licensed under the [openrail] License. See the LICENSE file for details.

## Acknowledgments
- Special thanks to the Hugging Face team for their excellent work on the Transformers library.
- Thanks to OpenAI for providing the pre-trained GPT-2 model.
{"license": "openrail", "tags": ["code"], "metrics": ["bleu"], "pipeline_tag": "text-generation"}
transformers pytorch gpt2 text-generation code license:openrail autotrain_compatible endpoints_compatible text-generation-inference region:us
TAGS
#transformers #pytorch #gpt2 #text-generation #code #license-openrail #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 


## Story Generation Using GPT-2 in Hugging Face
This repository provides an example of how to use the GPT-2 language model in Hugging Face for story generation tasks. GPT-2 is a powerful natural language processing model that can generate human-like text, and Hugging Face is a popular open-source library for working with NLP models.

## Requirements
- Python 3.6 or higher
- Hugging Face transformers library
- PyTorch or TensorFlow

## Installation
- Clone this repository: git clone 
- Navigate to the repository directory: 
- Install the required libraries: 

## Usage
- Download the GPT-2 pre-trained model: 
- Edit the  file to include your desired prompt and generate settings.
- Run the  to generate text: 
  
## Customization
You can customize the GPT-2 model and the text generation settings by editing the  file. For example, you can change the prompt text, the number of tokens to generate, the temperature setting for the model, and more.

## References
- Hugging Face Transformers library: 
- GPT-2 model by me: 
- OpenAI GPT-2 model: 

## License
This repository is licensed under the [openrail] License. See the LICENSE file for details.

## Acknowledgments
- Special thanks to the Hugging Face team for their excellent work on the Transformers library.
- Thanks to OpenAI for providing the pre-trained GPT-2 model.
## Story Generation Using GPT-2 in Hugging Face
This repository provides an example of how to use the GPT-2 language model in Hugging Face for story generation tasks. GPT-2 is a powerful natural language processing model that can generate human-like text, and Hugging Face is a popular open-source library for working with NLP models. ## Requirements
- Python 3.6 or higher
- Hugging Face transformers library
- PyTorch or TensorFlow ## Installation
- Clone this repository: git clone 
- Navigate to the repository directory: 
- Install the required libraries: ## Usage
- Download the GPT-2 pre-trained model: 
- Edit the  file to include your desired prompt and generate settings.
- Run the  to generate text: ## Customization
You can customize the GPT-2 model and the text generation settings by editing the  file. For example, you can change the prompt text, the number of tokens to generate, the temperature setting for the model, and more. ## References
- Hugging Face Transformers library: 
- GPT-2 model by me: 
- OpenAI GPT-2 model: ## License
This repository is licensed under the [openrail] License. See the LICENSE file for details. ## Acknowledgments
- Special thanks to the Hugging Face team for their excellent work on the Transformers library.
- Thanks to OpenAI for providing the pre-trained GPT-2 model.
TAGS
#transformers #pytorch #gpt2 #text-generation #code #license-openrail #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 
 ## Story Generation Using GPT-2 in Hugging Face
This repository provides an example of how to use the GPT-2 language model in Hugging Face for story generation tasks. GPT-2 is a powerful natural language processing model that can generate human-like text, and Hugging Face is a popular open-source library for working with NLP models. ## Requirements
- Python 3.6 or higher
- Hugging Face transformers library
- PyTorch or TensorFlow ## Installation
- Clone this repository: git clone 
- Navigate to the repository directory: 
- Install the required libraries: ## Usage
- Download the GPT-2 pre-trained model: 
- Edit the  file to include your desired prompt and generate settings.
- Run the  to generate text: ## Customization
You can customize the GPT-2 model and the text generation settings by editing the  file. For example, you can change the prompt text, the number of tokens to generate, the temperature setting for the model, and more. ## References
- Hugging Face Transformers library: 
- GPT-2 model by me: 
- OpenAI GPT-2 model: ## License
This repository is licensed under the [openrail] License. See the LICENSE file for details. ## Acknowledgments
- Special thanks to the Hugging Face team for their excellent work on the Transformers library.
- Thanks to OpenAI for providing the pre-trained GPT-2 model.
TAGS
#transformers #pytorch #gpt2 #text-generation #code #license-openrail #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 
## Story Generation Using GPT-2 in Hugging Face
This repository provides an example of how to use the GPT-2 language model in Hugging Face for story generation tasks. GPT-2 is a powerful natural language processing model that can generate human-like text, and Hugging Face is a popular open-source library for working with NLP models.## Requirements
- Python 3.6 or higher
- Hugging Face transformers library
- PyTorch or TensorFlow## Installation
- Clone this repository: git clone 
- Navigate to the repository directory: 
- Install the required libraries:## Usage
- Download the GPT-2 pre-trained model: 
- Edit the  file to include your desired prompt and generate settings.
- Run the  to generate text:## Customization
You can customize the GPT-2 model and the text generation settings by editing the  file. For example, you can change the prompt text, the number of tokens to generate, the temperature setting for the model, and more.## References
- Hugging Face Transformers library: 
- GPT-2 model by me: 
- OpenAI GPT-2 model:## License
This repository is licensed under the [openrail] License. See the LICENSE file for details.## Acknowledgments
- Special thanks to the Hugging Face team for their excellent work on the Transformers library.
- Thanks to OpenAI for providing the pre-trained GPT-2 model.