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Hugging Face is an organization on GitHub that focuses on building an AI community. They have a wide range of repositories primarily in Python, Rust, and Jupyter Notebook. Notable projects include transformers for machine learning models and diffusers for image and audio generation.
🤗 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.
🤗 LeRobot: Making AI for Robotics more accessible with end-to-end learning
Fully open reproduction of DeepSeek-R1
🤗 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
Train transformer language models with reinforcement learning.
State-of-the-Art Embeddings, Retrieval, and Reranking
State-of-the-art Machine Learning for the web. Run 🤗 Transformers directly in your browser, with no need for a server!
Build voice agents with open-source models
Give your agents the power of the Hugging Face ecosystem
💥 Fast State-of-the-Art Tokenizers optimized for Research and Production
The open source codebase powering HuggingChat
Large Language Model Text Generation Inference
Archived — ML Intern is no longer maintained. Continue with HuggingChat.
🚀 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
Robust recipes to align language models with human and AI preferences
Inference and training library for high-quality TTS models.
A blazing fast inference solution for text embeddings models
This repo contains the Hugging Face Deep Reinforcement Learning Course.
The simplest, fastest repository for training/finetuning small-sized VLMs.
Notebooks using the Hugging Face libraries 🤗
🤗 AutoTrain Advanced
Materials for the Hugging Face Diffusion Models Course
The Hugging Face course on Transformers
Distilled variant of Whisper for speech recognition. 6x faster, 50% smaller, within 1% word error rate.
The official CLI and Python client for the Hugging Face Hub.
Everything about the SmolLM and SmolVLM family of models
🚀 Accelerate inference and training of 🤗 Transformers, Diffusers, TIMM and Sentence Transformers with easy to use hardware optimization tools
Freeing data processing from scripting madness by providing a set of platform-agnostic customizable pipeline processing blocks.
A Python port of Pi’s minimalist coding agent.
Efficient few-shot learning with Sentence Transformers
Minimalistic large language model 3D-parallelism training
Open-source AI cookbook
Use Hugging Face with JavaScript
Lighteval is your all-in-one toolkit for evaluating LLMs across multiple backends
🤗 Evaluate: A library for easily evaluating machine learning models and datasets.
Minimalistic 4D-parallelism distributed training framework for education purpose
Making the community's best AI chat models available to everyone.
JavaScript Gaussian Splatting library.
Build, enrich, and transform datasets using AI models with no code
🔥The Web-scale GUI for MongoDB
Scalable and memory-optimized training of diffusion models
Swift Package to implement a transformers-like API in Swift
No description provided for this repository.
LLM powered development for Neovim
Recipes to scale inference-time compute of open models
🤗 A list of wonderful open-source projects & applications integrated with Hugging Face libraries.
A pytorch quantization backend for optimum
An API-compatible, drop-in replacement for Apple's Foundation Models framework with support for custom language model providers.
Mount Hugging Face Buckets and repos as local filesystems. No download, no copy, no waiting.
Build compute kernels and load them from the Hub.
A Rust NFS Server implementation
Turn any repository into verifiable RL environments for coding agents - Harbor tasks you can train on, evaluate and share on the Hugging Face Hub
🤗 Optimum Intel: Accelerate inference with Intel optimization tools
xet client tech, used in huggingface_hub
Docs of the Hugging Face Hub
Durable, searchable memory of your past agent sessions.
No description provided for this repository.
Where GPUs get cooked 👩🍳🔥
⏰ AI conference deadline countdowns
Rust client for the huggingface hub aiming for minimal subset of features over `huggingface-hub` python package
Hugging Face MCP Server
No description provided for this repository.
No description provided for this repository.
Human in the loop Reinforcement Learning suite
The home of Carbon Genomic Foundation Model 🧬
Easy and lightning fast training of 🤗 Transformers on Habana Gaudi processor (HPU)
A Command-Line Interface (CLI), Skill and MCP Server to interact with Papers with Code. For agents and humans.
No description provided for this repository.
A Unity plugin for using Transformers models in Unity.
A Swift client for Hugging Face Hub and Inference Providers APIs
Kernel sources for https://huggingface.co/kernels-community
The package used to build the documentation of our Hugging Face repos
Research projects built on top of Transformers
Pi coding agent extension: llama.cpp provider with dynamic model + context window discovery
Testbed for LLM inference with cutile-rs.
AMD related optimizations for transformer models
Hugging Face Inference Toolkit used to serve transformers, sentence-transformers, and diffusers models.
This repository hosts the code of Papers with Code, which tracks trending AI research with code, datasets and leaderboards.
No description provided for this repository.
Reviews pull requests with any OpenAI-compatible LLM
Agentic Resource Discovery Client/Server
No description provided for this repository.
A framework to capture, analyse and export agentic sessions
Expose HuggingFace datasets as Apache Iceberg tables
A GitHub Action that syncs your GitHub repository to Hugging Face Hub 🤗
CSI driver for mounting HuggingFace Buckets and Repos as FUSE filesystems
Search the decisions behind the code.
No description provided for this repository.
Fast build, push, pull and run of container images on the Hugging Face registry (cr.hf.co), as an hf CLI extension
No description provided for this repository.
Executable model integration contracts published on the Hub, run from framework CI
CI tools for Transformers
No description provided for this repository.
Build manylinux binaries using Nix
Hugging Face builds various tools and libraries for artificial intelligence, including repositories like transformers for model definition and diffusers for generating images and audio. Their work supports both research and practical applications in AI.
Hugging Face primarily uses Python for most of their repositories, with Rust and Jupyter Notebook also featured prominently. This diverse language usage supports a range of applications in machine learning and data science.
Yes, all of Hugging Face's repositories are public on GitHub. This transparency allows the community to access their tools, contribute to projects, and enhance collaboration in the AI field.
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