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Update README, prep for 0.9.8 release
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README.md

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* The Hugging Face Hub (https://huggingface.co/timm) is now the primary source for `timm` weights. Model cards include link to papers, original source, license.
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* Previous 0.6.x can be cloned from [0.6.x](https://github.com/rwightman/pytorch-image-models/tree/0.6.x) branch or installed via pip with version.
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### Oct 20, 2023
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* [SigLIP](https://huggingface.co/papers/2303.15343) image tower weights supported in `vision_transformer.py`.
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* Great potential for fine-tune and downstream feature use.
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* Experimental 'register' support in vit models as per [Vision Transformers Need Registers](https://huggingface.co/papers/2309.16588)
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* Updated RepViT with new weight release. Thanks [wangao](https://github.com/jameslahm)
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* Add patch resizing support (on pretrained weight load) to Swin models
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* 0.9.8 release pending
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### Sep 1, 2023
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* TinyViT added by [SeeFun](https://github.com/seefun)
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* Fix EfficientViT (MIT) to use torch.autocast so it works back to PT 1.10

timm/version.py

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__version__ = '0.9.8dev0'
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__version__ = '0.9.8'

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