GPT-2

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.