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 ## Citations
 We’re excited to continue the strong legacy of opensource software and have been inspired over the years by Caffee, Theano, Keras, PyTorch, torchbearer, and fast.ai. When/if a paper is written about this, we’ll be happy to cite these frameworks and the corresponding authors.
 
-Flash leverages models from [torchvision](https://pytorch.org/vision/stable/index.html), [huggingface/transformers](https://huggingface.co/transformers/), and [pytorch-tabnet](https://dreamquark-ai.github.io/tabnet/) for the `vision`, `text`, and `tabular` tasks respectively. Also supports self-supervised backbones from [bolts](https://github.com/PyTorchLightning/lightning-bolts).
+Flash leverages models from [torchvision](https://pytorch.org/vision/stable/index.html), [huggingface/transformers](https://huggingface.co/transformers/), [timm](https://github.com/rwightman/pytorch-image-models), and [pytorch-tabnet](https://dreamquark-ai.github.io/tabnet/) for the `vision`, `text`, and `tabular` tasks respectively. Also supports self-supervised backbones from [bolts](https://github.com/PyTorchLightning/lightning-bolts).
 
 ## License
 Please observe the Apache 2.0 license that is listed in this repository. In addition