This repository contains all the projects and code implementations from the book Natural Language Processing with Transformers. Each chapter's project is organized into its own sub-directory, allowing you to explore and run the code examples independently.
The book Natural Language Processing with Transformers introduces the powerful capabilities of transformer models for various NLP tasks. This repository is a companion to the book, containing the source code and projects discussed in each chapter. By following along with these projects, you can gain hands-on experience in implementing and fine-tuning transformer models for tasks such as text classification, question answering, text generation, and more.
Each chapter's folder includes:
- A
README.mdfile with details specific to that chapter's project. - The Jupyter Notebook or Python scripts used in the chapter.
- Any additional resources or data needed to run the project.
To get started with any of the projects, clone this repository and install the necessary dependencies.
git clone https://github.com/aymen-011/nlp-transformers-projects.git
cd nlp-transformers-projects