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README.md

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 license: openrail
+metrics:
+- bleu
+library_name: adapter-transformers
+pipeline_tag: text-generation
+tags:
+- code
 ---
+
+## Text 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 text 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/sonyway01/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 ```generate_text.py``` file to include your desired prompt and generate settings.
+Run the ```generate_text.py file``` to generate text: ```python generate_text.py```
+Customization
+You can customize the GPT-2 model and the text generation settings by editing the ```generate_text.py``` 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.