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README.md

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## What's New
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## Feb 21, 2025
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* SigLIP 2 ViT image encoders added (https://huggingface.co/collections/timm/siglip-2-67b8e72ba08b09dd97aecaf9)
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* Variable resolution / aspect NaFlex versions are a WIP
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* Add 'SO150M2' ViT weights trained with SBB recipes, great results, better for ImageNet than previous attempt w/ less training.
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* `vit_so150m2_patch16_reg1_gap_448.sbb_e200_in12k_ft_in1k` - 88.1% top-1
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* `vit_so150m2_patch16_reg1_gap_384.sbb_e200_in12k_ft_in1k` - 87.9% top-1
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* `vit_so150m2_patch16_reg1_gap_256.sbb_e200_in12k_ft_in1k` - 87.3% top-1
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* `vit_so150m2_patch16_reg4_gap_256.sbb_e200_in12k`
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* Updated InternViT-300M '2.5' weights
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## Feb 1, 2025
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* FYI PyTorch 2.6 & Python 3.13 are tested and working w/ current main and released version of `timm`
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