This GitHub repository contains a series of Jupyter notebooks that accompany the Hugging Face Transformers Course. The notebooks contain working code examples and explanations that help users learn about natural language processing (NLP) with transformers and the Hugging Face library. Prerequisites
To run the notebooks in this repository, you will need to have the following software installed on your machine:
Python 3.6 or later
Jupyter Notebook
Hugging Face Transformers library
To install the Hugging Face Transformers library, run the following command in your terminal:
pip install transformers
Usage
To use the notebooks in this repository, simply clone or download the repository to your local machine, navigate to the directory containing the notebooks, and open the desired notebook in Jupyter Notebook.
Each notebook contains code examples and explanations of different concepts related to natural language processing with transformers, such as text classification, question answering, and language generation. Contributing
If you find any issues with the notebooks or would like to suggest improvements, feel free to open an issue or submit a pull request. License
The code in this repository is licensed under the Apache License 2.0.