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THE FIRST COLLECTIONHugging Face Transformers is a model-definition framework for machine learning across text, vision, audio, and multimodal tasks. It provides a unified API for inference and training with over 1 million pretrained checkpoints.
timm is a large collection of PyTorch image models, layers, optimizers, schedulers, data loaders and training/eval scripts, offering many pretrained backbones such as ResNet, EfficientNet, ViT, ConvNeXt and Swin.
Spleeter is a Python-based music source separation library by Deezer Research that uses pretrained TensorFlow models to split audio into stems like vocals, drums, bass, and more.
