Hugging Face
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- 🤗 Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch and FLAX.
- 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
- Open source codebase powering the HuggingChat app
- State-of-the-art Machine Learning for the web. Run 🤗 Transformers directly in your browser, with no need for a server!
- 🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
- Backend that powers the dataset viewer on Hugging Face dataset pages through a public API.
- Easy and lightning fast training of 🤗 Transformers on Habana Gaudi processor (HPU)
- Public repo for HF blog posts
- 🤗 Optimum Intel: Accelerate inference with Intel optimization tools
- Lighteval is your all-in-one toolkit for evaluating LLMs across multiple backends
- 🚀 Accelerate inference and training of 🤗 Transformers, Diffusers, TIMM and Sentence Transformers with easy to use hardware optimization tools
datasets
Public🤗 The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation tools- The official Python client for the Huggingface Hub.