>>> import timm
>>> model = timm.create_model('gmixer_24_224.ra3_in1k', pretrained=True)
>>> data_config = timm.data.resolve_model_data_config(model)

@article{tolstikhin2021,
  title={MLP-Mixer: An all-MLP Architecture for Vision},
  author={Tolstikhin, Ilya and Houlsby, Neil and Kolesnikov, Alexander and Beyer, Lucas and Zhai, Xiaohua and Unterthiner,
        Thomas and Yung, Jessica and Keysers, Daniel and Uszkoreit, Jakob and Lucic, Mario and Dosovitskiy, Alexey},
  journal={arXiv preprint arXiv:2105.01601},
  year={2021}
}

@misc{touvron2021resmlp,
      title={ResMLP: Feedforward networks for image classification with data-efficient training},
      author={Hugo Touvron and Piotr Bojanowski and Mathilde Caron and Matthieu Cord and Alaaeldin El-Nouby and
        Edouard Grave and Armand Joulin and Gabriel Synnaeve and Jakob Verbeek and Hervé Jégou},
      year={2021},
      eprint={2105.03404},
}

@misc{liu2021pay,
      title={Pay Attention to MLPs},
      author={Hanxiao Liu and Zihang Dai and David R. So and Quoc V. Le},
      year={2021},
      eprint={2105.08050},
}