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- 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!
- A collection of 🤗 Transformers.js demos and example applications
- 🤗 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.
- Easy and lightning fast training of 🤗 Transformers on Habana Gaudi processor (HPU)
- 🤗 Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch and FLAX.
- Use Hugging Face with JavaScript
kernel-builder
Public- 🚀 Accelerate inference and training of 🤗 Transformers, Diffusers, TIMM and Sentence Transformers with easy to use hardware optimization tools
- 🤗 The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation tools
- 🤗 Optimum Intel: Accelerate inference with Intel optimization tools
- This repository contains the Hugging Face Agents Course.
- Lighteval is your all-in-one toolkit for evaluating LLMs across multiple backends
swift-transformers
Public- The official Python client for the Huggingface Hub.