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| Name | Modified | Size | Downloads / Week |
|---|---|---|---|
| Parent folder | |||
| README.md | 2025-07-23 | 1.2 kB | |
| Release v1.0.18 source code.tar.gz | 2025-07-23 | 3.1 MB | |
| Release v1.0.18 source code.zip | 2025-07-23 | 3.4 MB | |
| Totals: 3 Items | 6.5 MB | 0 | |
July 23, 2025
- Add
set_input_size()method to EVA models, used by OpenCLIP 3.0.0 to allow resizing for timm based encoder models. - Release 1.0.18, needed for PE-Core S & T models in OpenCLIP 3.0.0
July 21, 2025
- ROPE support added to NaFlexViT. All models covered by the EVA base (
eva.py) including EVA, EVA02, Meta PE ViT,timmSBB ViT w/ ROPE, and Naver ROPE-ViT can be now loaded in NaFlexViT whenuse_naflex=Truepassed at model creation time - More Meta PE ViT encoders added, including small/tiny variants, lang variants w/ tiling, and more spatial variants.
- PatchDropout fixed with NaFlexViT and also w/ EVA models (regression after adding Naver ROPE-ViT)
- Fix XY order with grid_indexing='xy', impacted non-square image use in 'xy' mode (only ROPE-ViT and PE impacted).
What's Changed
- Add ROPE support to NaFlexVit (axial and mixed), and support most (all?) EVA based vit models & weights by @rwightman in https://github.com/huggingface/pytorch-image-models/pull/2552
- Support set_input_size() in EVA models by @rwightman in https://github.com/huggingface/pytorch-image-models/pull/2554
Full Changelog: https://github.com/huggingface/pytorch-image-models/compare/v1.0.17...v1.0.18