🤗 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 largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more

🤗 Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch.

This repository contains the Hugging Face Agents Course.

🤗 smolagents: a barebones library for agents that think in code.

Fully open reproduction of DeepSeek-R1

🤗 LeRobot: Making AI for Robotics more accessible with end-to-end learning

🤗 The largest hub of ready-to-use datasets for AI models with fast, easy-to-use and efficient data manipulation tools

🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.

Minimalist ML framework for Rust

State-of-the-Art Text Embeddings

Train transformer language models with reinforcement learning.

State-of-the-art Machine Learning for the web. Run 🤗 Transformers directly in your browser, with no need for a server!

Large Language Model Text Generation Inference

The open source codebase powering HuggingChat

💥 Fast State-of-the-Art Tokenizers optimized for Research and Production