huggingface/pytorch-image-models v1.0.26 on GitHub

March 23, 2026

Improve pickle checkpoint handling security. Default all loading to weights_only=True, add safe_global for ArgParse.
Improve attention mask handling for core ViT/EVA models & layers. Resolve bool masks, pass is_causal through for SSL tasks.
Fix class & register token uses with ViT and no pos embed enabled.
Add Patch Representation Refinement (PRR) as a pooling option in ViT. Thanks Sina (https://github.com/sinahmr).
Improve consistency of output projection / MLP dimensions for attention pooling layers.
Hiera model F.SDPA optimization to allow Flash Attention kernel use.
Caution added to SGDP optimizer.
Release 1.0.26. First maintenance release since my departure from Hugging Face.

fix: replace 5 bare except clauses with except Exception by @haosenwang1018 in #2672
Add timmx model export tool to README by @Boulaouaney in #2673
Enhance SGDP optimizer with caution parameter by @Yuan-Jinghui in #2675
Fix CLS and Reg tokens usage when pos_embed is disabled by @sinahmr in #2676
default weights_only=True for load fns by @rwightman in #2679
Fix Hiera global attention to use 4D tensors for efficient SDPA dispatch by @Raiden129 in #2680
Improve 2d and latent attention pool dimension handling. Fix #2682 by @rwightman in #2684
Improve attention mask handling for vision_transformer and eva and related blocks by @rwightman in #2686
Implement PRR as a pooling module. Alternative to #2678 by @rwightman in #2685

Full Changelog: v1.0.25...v1.0.26