Stars
The official Python client for the Hugging Face Hub.
🤗 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.
🤗 Evaluate: A library for easily evaluating machine learning models and datasets.
🚀 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 package used to build the documentation of our Hugging Face repos
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V…
🤗 The largest hub of ready-to-use datasets for AI models with fast, easy-to-use and efficient data manipulation tools
💥 Fast State-of-the-Art Tokenizers optimized for Research and Production
The fundamental package for scientific computing with Python.
A fast way to turn your python function into a script
Create delightful software with Jupyter Notebooks
Temporary home for fastai v2 while it's being developed
Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.