🤗 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 and FLAX.
🤗 The largest hub of ready-to-use datasets for AI models with fast, easy-to-use and efficient data manipulation tools
Large Language Model Text Generation Inference
💥 Fast State-of-the-Art Tokenizers optimized for Research and Production
Open source codebase powering the HuggingChat app
🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.
🤗 AutoTrain Advanced
This repo contains the Hugging Face Deep Reinforcement Learning Course.
Speech To Speech: an effort for an open-sourced and modular GPT4-o
The Hugging Face course on Transformers
🚀 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
The official Python client for the Huggingface Hub.
🚪✊Knock Knock: Get notified when your training ends with only two additional lines of code
🤗 Evaluate: A library for easily evaluating machine learning models and datasets.
🦄 State-of-the-Art Conversational AI with Transfer Learning
Sharing both practical insights and theoretical knowledge about LLM evaluation that we gathered while managing the Open LLM Leaderboard and designing lighteval!
Utilities to use the Hugging Face Hub API
Efficient few-shot learning with Sentence Transformers
🔥The Web-scale GUI for MongoDB
🌊HMTL: Hierarchical Multi-Task Learning - A State-of-the-Art neural network model for several NLP tasks based on PyTorch and AllenNLP
🦋A PyTorch implementation of BigGAN with pretrained weights and conversion scripts.
🤗 A list of wonderful open-source projects & applications integrated with Hugging Face libraries.
😇A pyTorch implementation of the DeepMoji model: state-of-the-art deep learning model for analyzing sentiment, emotion, sarcasm etc
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
Lightweight web API for visualizing and exploring all types of datasets - computer vision, speech, text, and tabular - stored on the Hugging Face Hub
An open collection of methodologies to help with successful training of large language models.
🤗 Optimum Intel: Accelerate inference with Intel optimization tools