Hugging Face
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- 🤗 Optimum Intel: Accelerate inference with Intel optimization tools
- 🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch and FLAX.
- 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!
- Public repo for HF blog posts
- Hugging Face Deep Learning Containers (DLCs) for Google Cloud
- 🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
- 💥 Fast State-of-the-Art Tokenizers optimized for Research and Production
- The official Python client for the Huggingface Hub.
- 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
- 🚀 Accelerate training and inference of 🤗 Transformers and 🤗 Diffusers with easy to use hardware optimization tools
- Open source codebase powering the HuggingChat app
- 🏋️ A unified multi-backend utility for benchmarking Transformers, Timm, PEFT, Diffusers and Sentence-Transformers with full support of Optimum's hardware optimizations & quantization schemes.
- 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
- Lighteval is your all-in-one toolkit for evaluating LLMs across multiple backends