Search

🤗 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.

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

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

Train transformer language models with reinforcement learning.

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

Minimalist ML framework for Rust

State-of-the-Art Embeddings, Retrieval, and Reranking

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

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

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

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

The official CLI and Python client for the Hugging Face Hub.

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

An API-compatible, drop-in replacement for Apple's Foundation Models framework with support for custom language model providers.

Fully open reproduction of DeepSeek-R1

Materials for the Hugging Face Diffusion Models Course

Public repo for HF blog posts

Notebooks using the Hugging Face libraries 🤗

🚀 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

🤗 AutoTrain Advanced

🚀 Accelerate inference and training of 🤗 Transformers, Diffusers, TIMM and Sentence Transformers with easy to use hardware optimization tools

Backend that powers the dataset viewer on Hugging Face dataset pages through a public API.

The Hugging Face course on Transformers

🎢 Creating and sharing simulation environments for embodied and synthetic data research

🤗 Optimum Intel: Accelerate inference with Intel optimization tools

MindSpore + 🤗Huggingface: Run any Transformers/Diffusers model on MindSpore with seamless compatibility and acceleration.

Use Hugging Face with JavaScript

The open source codebase powering HuggingChat

Swift Package to implement a transformers-like API in Swift

Freeing data processing from scripting madness by providing a set of platform-agnostic customizable pipeline processing blocks.