The best ChatGPT that $100 can buy.

Neural Networks: Zero to Hero

LLM101n: Let's build a Storyteller

A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API

Open-source AI cookbook

Accessible large language models via k-bit quantization for PyTorch.

Materials for the Hugging Face Diffusion Models Course

Open source codebase powering the HuggingChat app

Large Language Model Text Generation Inference

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

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

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

The package used to build the documentation of our Hugging Face repos

🤗 Evaluate: A library for easily evaluating machine learning models and datasets.

Docs of the Hugging Face Hub

The official Python client for the Hugging Face Hub.

🚀 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

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

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

🚀 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.