Hugging Face

Use AI Agents directly in Blender.

Build compute kernels and load them from the Hub.

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

This repository contains the Hugging Face Agents Course.

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

🤗 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.

⏰ AI conference deadline countdowns

Train transformer language models with reinforcement learning.

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

A course on Hugging Face land

The Hugging Face course on Transformers

Minimalist ML framework for Rust

Everything about the SmolLM and SmolVLM family of models

Minimalistic large language model 3D-parallelism training

xet client tech, used in huggingface_hub

The simplest, fastest repository for training/finetuning small-sized VLMs.

A collection of 🤗 Transformers.js demos and example applications

Fully open reproduction of DeepSeek-R1

Notebooks using the Hugging Face libraries 🤗

A blazing fast inference solution for text embeddings models

Large Language Model Text Generation Inference

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

An open collection of methodologies to help with successful training of large language models.

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

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

Swift app demonstrating Core ML Stable Diffusion

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