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README.md

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@@ -261,3 +261,22 @@ So far all of the pretrained weights available here are pretrained on ImageNet w
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#### Pretrained on more than ImageNet
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Several weights included or references here were pretrained with proprietary datasets that I do not have access to. These include the Facebook WSL, SSL, SWSL ResNe(Xt) and the Google Noisy Student EfficientNet models. The Facebook models have an explicit non-commercial license (CC-BY-NC 4.0, https://github.com/facebookresearch/semi-supervised-ImageNet1K-models, https://github.com/facebookresearch/WSL-Images). The Google models do not appear to have any restriction beyond the Apache 2.0 license (and ImageNet concerns). In either case, you should contact Facebook or Google with any questions.
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## Citing
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### BibTeX
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```
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@misc{rw2019timm,
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author = {Ross Wightman},
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title = {PyTorch Image Models},
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year = {2019},
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publisher = {GitHub},
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journal = {GitHub repository},
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doi = {10.5281/zenodo.4414861},
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howpublished = {\url{https://github.com/rwightman/pytorch-image-models}}
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}
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```
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### Latest DOI
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[![DOI](https://zenodo.org/badge/168799526.svg)](https://zenodo.org/badge/latestdoi/168799526)

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