Host Git-based models, datasets, and Spaces on the HF Hub

Python client to interact with the Hugging Face Hub

JavaScript libraries for Hugging Face with built-in TS types

Explore demos, models, and datasets for any ML tasks

API for metadata, stats, and content of HF Hub datasets

Call 200k+ models hosted by our 10+ Inference partners

Deploy models on dedicated & fully managed infrastructure on HF

Train/deploy models from Hugging Face to AWS with DLCs

Serve language models with TGI optimized toolkit

Serve embeddings models with TEI optimized toolkit

Deploy Hugging Face models on Microsoft Azure

Train and Deploy Hugging Face models on Google Cloud

State-of-the-art AI models for PyTorch

State-of-the-art Diffusion models in PyTorch

Access & share datasets for any ML tasks

State-of-the-art ML running directly in your browser

Fast tokenizers optimized for research & production

Evaluate and compare models performance

State-of-the-art vision models: layers, optimizers, and utilities

Embeddings, Retrieval, and Reranking

Load and run compute kernels from the Hugging Face Hub

Parameter-efficient finetuning for large language models

Train PyTorch models with multi-GPU, TPU, mixed precision

Optimize HF Transformers for faster training/inference

Train/deploy Transformers/Diffusers on AWS

Train and Deploy models on Google TPUs via Optimum.

Train transformers LMs with reinforcement learning

Safe way to store/distribute neural network weights

Optimize and quantize models with bitsandbytes

All-in-one toolkit to evaluate LLMs across multiple backends

Build ML demos and web apps with a few lines of Python

A lightweight, local-first, and free experiment tracking Python library

Smol library to build great agents in Python

Making AI for Robotics more accessible with end-to-end learning

Open-source expressive robot SDK for hackers and AI builders

AutoTrain API and UI for seamless model training

Open source chat frontend powering HuggingChat

Create custom Leaderboards on Hugging Face

Collaboration tool for building high-quality datasets

Framework for synthetic data generation and AI feedback