🤗 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.
其他人工智能更新于 2026-11-02
其他人工智能Apache-2.0
Repository dossier
huggingface/pytorch-image-models
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
Brief / README 摘要
查看原文What's New Introduction Models Features Results Getting Started (Documentation) Train, Validation, Inference Scripts Awesome PyTorch Resources Licenses Citing forward_intermediates and prune_intermediate_layers are now supported by every model. Newly added for CSPNet, NFNet, DLA, DenseNet (#2870, thanks ghaith-mq), CoaT, ConViT, ConvMixer, CrossViT, HRNet, Inception-v3, Inception-ResNet-v2, NASNet, PNASNet, SelecSLS, SENet, Sequencer2d, VGG, Visformer, Xception and Aligned Xception, with prune_intermediate_layers for NaFlexViT and MobileNetV5 encoders. CoaT, ConViT, ConvMixer, CrossViT and Vis…
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