Hugging Face
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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 and FLAX.
- Docs of the Hugging Face Hub
- Easy and lightning fast training of 🤗 Transformers on Habana Gaudi processor (HPU)
- 🚀 Accelerate inference and training of 🤗 Transformers, Diffusers, TIMM and Sentence Transformers with easy to use hardware optimization tools
- 🤗 Optimum Intel: Accelerate inference with Intel optimization tools
- A blazing fast inference solution for text embeddings models
- 🤗 The largest hub of ready-to-use datasets for AI models with fast, easy-to-use and efficient data manipulation tools
- Lighteval is your all-in-one toolkit for evaluating LLMs across multiple backends
- Use Hugging Face with JavaScript
- 💥 Fast State-of-the-Art Tokenizers optimized for Research and Production
- 🏋️ A unified multi-backend utility for benchmarking Transformers, Timm, PEFT, Diffusers and Sentence-Transformers with full support of Optimum's hardware optimizations & quantization schemes.
- Public repo for HF blog posts
- The official Python client for the Huggingface Hub.