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Changelog

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

huggingface/pytorch-image-models·

37k5.1kPythonApache-2.0

·Website

augmixconvnextdistributed-trainingefficientnetimage-classificationimagenet+14

Last updated 9 days ago

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NewNovember 5, 2025

Release v1.0.22

Patch release for priority LayerScale initialization regression in 1.0.21

What's Changed

Add some weights for efficientnet_x / efficientnet_h models by @rwightman in https://github.com/huggingface/pytorch-image-models/pull/2602
Update result csvs by @rwightman in https://github.com/huggingface/pytorch-image-models/pull/2603
Fix LayerScale ignoring init_values by @Ilya-Fradlin in https://github.com/huggingface/pytorch-image-models/pull/2605

New Contributors

@Ilya-Fradlin made their first contribution in https://github.com/huggingface/pytorch-image-models/pull/2605

Full Changelog: https://github.com/huggingface/pytorch-image-models/compare/v1.0.21...v1.0.22

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