Hugging Face Notebooks is a collection of Jupyter notebooks demonstrating the Hugging Face libraries.
The repository serves as a practical resource for learning how to use Hugging Face tools and libraries through executable examples. Rather than providing only documentation or API references, the notebooks offer hands-on demonstrations that show how to accomplish specific tasks using the Hugging Face ecosystem. This approach allows developers to see working code in context and understand the typical workflows for common machine learning and natural language processing problems.
Developers should use this collection when they want to learn by example or need reference implementations for tasks involving Hugging Face libraries. The notebooks are particularly valuable for those new to the ecosystem who benefit from seeing complete, runnable examples rather than reading documentation alone. This resource suits anyone building projects with Hugging Face tools who wants to understand best practices and common patterns through concrete demonstrations.
The project maintains an active collection of notebooks that serve as educational material and reference implementations for the Hugging Face ecosystem. The repository accepts contributions and updates to keep the examples current with the libraries they demonstrate.
