🤗 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.

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

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

Large Language Model Text Generation Inference

The open source codebase powering HuggingChat

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