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Title: GitHub - facebookresearch/ToMe: A method to increase the speed and lower the memory footprint of existing vision transformers. · GitHub

Open Graph Title: GitHub - facebookresearch/ToMe: A method to increase the speed and lower the memory footprint of existing vision transformers.

X Title: GitHub - facebookresearch/ToMe: A method to increase the speed and lower the memory footprint of existing vision transformers.

Description: A method to increase the speed and lower the memory footprint of existing vision transformers. - facebookresearch/ToMe

Open Graph Description: A method to increase the speed and lower the memory footprint of existing vision transformers. - facebookresearch/ToMe

X Description: A method to increase the speed and lower the memory footprint of existing vision transformers. - facebookresearch/ToMe

Opengraph URL: https://github.com/facebookresearch/ToMe

X: @github

direct link

Domain: github.com

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19 Commitshttps://github.com/facebookresearch/ToMe/commits/main/
https://github.com/facebookresearch/ToMe/commits/main/
exampleshttps://github.com/facebookresearch/ToMe/tree/main/examples
exampleshttps://github.com/facebookresearch/ToMe/tree/main/examples
tomehttps://github.com/facebookresearch/ToMe/tree/main/tome
tomehttps://github.com/facebookresearch/ToMe/tree/main/tome
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https://github.com/facebookresearch/ToMe#token-merging-your-vit-but-faster
Token Merging: Your ViT but Fasterhttps://arxiv.org/abs/2210.09461
https://github.com/facebookresearch/ToMe#what-is-tome
https://github.com/facebookresearch/ToMe/blob/main/examples/images/concept_figure.png
benchmark scripthttps://github.com/facebookresearch/ToMe/blob/main/examples/1_benchmark_timm.ipynb
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https://github.com/facebookresearch/ToMe#what-tome-does
https://github.com/facebookresearch/ToMe/blob/main/examples/images/image_vis.png
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https://github.com/facebookresearch/ToMe#installation
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https://github.com/facebookresearch/ToMe#usage
🔗https://github.com/facebookresearch/ToMe#using-timm-models
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🔗https://github.com/facebookresearch/ToMe#using-swag-models-through-torch-hub
swaghttps://github.com/facebookresearch/SWAG
🔗https://github.com/facebookresearch/ToMe#training-with-mae
maehttps://github.com/facebookresearch/mae
🔗 diffusionhttps://github.com/dbolya/tomesd
https://github.com/facebookresearch/ToMe#using-timm-models
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AugReghttps://github.com/google-research/vision_transformer
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deit_S_r13https://dl.fbaipublicfiles.com/tome/f367470145_deit_S_r13.pth
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https://github.com/facebookresearch/ToMe#using-swag-models-through-torch-hub
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https://github.com/facebookresearch/ToMe#training-with-mae
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this examplehttps://github.com/facebookresearch/ToMe/blob/main/examples/4_example_mae.py
herehttps://github.com/facebookresearch/mae/blob/main/FINETUNE.md
https://github.com/facebookresearch/ToMe#license-and-contributing
CC-BY-NC 4.0https://github.com/facebookresearch/ToMe/blob/main/LICENSE
contributinghttps://github.com/facebookresearch/ToMe/blob/main/CONTRIBUTING.md
code of conducthttps://github.com/facebookresearch/ToMe/blob/main/CODE_OF_CONDUCT.md
https://github.com/facebookresearch/ToMe#citation
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