🤗 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.

🤗 Optimum ONNX: Export your model to ONNX and run inference with ONNX Runtime

Tensors and Dynamic neural networks in Python with strong GPU acceleration

🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.

🚀 Accelerate inference and training of 🤗 Transformers, Diffusers, TIMM and Sentence Transformers with easy to use hardware optimization tools