huggingface

🤗 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.

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

🤗 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.

Large Language Model Text Generation Inference

The open source codebase powering HuggingChat

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

This repo contains the Hugging Face Deep Reinforcement Learning Course.

Build local voice agents with open-source models

🤗 AutoTrain Advanced

The Hugging Face course on Transformers

The official Python client for the Hugging Face Hub.

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

✨Fast Coreference Resolution in spaCy with Neural Networks

🚪✊Knock Knock: Get notified when your training ends with only two additional lines of code

Efficient few-shot learning with Sentence Transformers

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

Use Hugging Face with JavaScript

Sharing both practical insights and theoretical knowledge about LLM evaluation that we gathered while managing the Open LLM Leaderboard and designing lighteval!

🦄 State-of-the-Art Conversational AI with Transfer Learning

🔥The Web-scale GUI for MongoDB

Scalable and memory-optimized training of diffusion models

🌊HMTL: Hierarchical Multi-Task Learning - A State-of-the-Art neural network model for several NLP tasks based on PyTorch and AllenNLP

LLM powered development for Neovim

🤗 A list of wonderful open-source projects & applications integrated with Hugging Face libraries.

🦋A PyTorch implementation of BigGAN with pretrained weights and conversion scripts.

😇A pyTorch implementation of the DeepMoji model: state-of-the-art deep learning model for analyzing sentiment, emotion, sarcasm etc

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

Repository of code for the tutorial on Transfer Learning in NLP held at NAACL 2019 in Minneapolis, MN, USA

Export Hugging Face models to Core ML and TensorFlow Lite