classicvalues

accelerate

🚀 A simple way to train and use PyTorch models with multi-GPU, TPU, mixed-precision

apm-ruby

OpenTelemetry-based SolarWinds APM Ruby library

autogptq-index

A GitHub Pages hosting AutoGPTQ wheels

blog-hf

Public repo for HF blog posts

candle

Minimalist ML framework for Rust

chat-copilot

chat-ui

Open source codebase powering the HuggingChat app

cookbook

Open-source AI cookbook

course

The Hugging Face course on Transformers

datasets-hf

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

diffusers

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

hub-docs

Docs of the Hugging Face Hub

huggingface.js

Utilities to use the Hugging Face hub API

huggingface_hub

The official Python client for the Huggingface Hub.

llm-ls

LSP server leveraging LLMs for code completion (and more?)

opentelemetry-lambda

optimum

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

optimum-amd

AMD related optimizations for transformer models

optimum-habana

Easy and lightning fast training of 🤗 Transformers on Habana Gaudi processor (HPU)

optimum-intel

🤗 Optimum Intel: Accelerate inference with Intel optimization tools

optimum-neuron

Easy, fast and very cheap training and inference on AWS Trainium and Inferentia chips.

optimum-nvidia

orionsdk-python

Python client for interacting with the SolarWinds Orion API

peft

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

pytorch-image-models

PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNet-V3/V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more

quanto

A pytorch Quantization Toolkit

safetensors

Simple, safe way to store and distribute tensors

sdxl-fast

Faster generation with SDXL.

tgi-gaudi

Large Language Model Text Generation Inference on Habana Gaudi

trl

Train transformer language models with reinforcement learning.