Sylvain Gugger

🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.

The fastai deep learning library

The fastai book, published as Jupyter Notebooks

🚀 A simple way to launch, train, and use PyTorch models on almost any device and distributed configuration, automatic mixed precision (including fp8), and easy-to-configure FSDP and DeepSpeed support

The 3rd edition of course.fast.ai

Notebooks using the Hugging Face libraries 🤗

fast.ai early development experiments

A few notebooks about deep learning in pytorch

Implementation of paper "Towards a Unified View of Parameter-Efficient Transfer Learning" (ICLR 2022)