Hugging Face
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- The official Python client for the Hugging Face Hub.
- Kernel sources for https://huggingface.co/kernels-community
- Public repo for HF blog posts
- 🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.
- The Hugging Face course on Transformers
- Easy and lightning fast training of 🤗 Transformers on Habana Gaudi processor (HPU)
- 🤗 The largest hub of ready-to-use datasets for AI models with fast, easy-to-use and efficient data manipulation tools
- 🤗 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.
- Lighteval is your all-in-one toolkit for evaluating LLMs across multiple backends
- 🔥The Web-scale GUI for MongoDB
- 🤗 Optimum Intel: Accelerate inference with Intel optimization tools
- Docs of the Hugging Face Hub
- The Hugging Face Course on Transformers for Audio
- Open source codebase powering the HuggingChat app
- Use Hugging Face with JavaScript
- Build, enrich, and transform datasets using AI models with no code
- 🤗 Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch.
- State-of-the-art Machine Learning for the web. Run 🤗 Transformers directly in your browser, with no need for a server!
- 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