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- 🤗 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 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
- Docs of the Hugging Face Hub
- State-of-the-art Machine Learning for the web. Run 🤗 Transformers directly in your browser, with no need for a server!
huggingface.js
PublicUse Hugging Face with JavaScripthuggingface_hub
PublicThe official Python client for the Hugging Face Hub.kernel-builder
Public- The Hugging Face Course on Transformers for Audio
candle
Publicoptimum-intel
Public🤗 Optimum Intel: Accelerate inference with Intel optimization toolsdataset-viewer
PublicBackend that powers the dataset viewer on Hugging Face dataset pages through a public API.- Public repo for HF blog posts
notebooks
Publicsetfit
PublicEfficient few-shot learning with Sentence Transformerskernels-community
PublicKernel sources for https://huggingface.co/kernels-communitysentence-transformers
Publicdoc-builder
Public