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Minor README update.
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Co-authored-by: Alexander Kolesnikov <alexanderkolesnikoff@gmail.com>
Co-authored-by: Jessica Yung <jessicayungyc@gmail.com>
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## Introduction

In this repository we release multiple models from the [Big Transfer (BiT): General Visual Representation Learning](https://arxiv.org/abs/1912.11370) paper that were pre-trained on the [ILSVRC-2012](http://www.image-net.org/challenges/LSVRC/2012/) and [ImageNet-21k](http://www.image-net.org/) datasets.
We provide the code to fine-tuning the released models in the major deep learning frameworks [TensorFlow 2](https://www.tensorflow.org/), [PyTorch](https://pytorch.org/) and [Jax](https://jax.readthedocs.io/en/latest/index.html).
We provide the code to fine-tuning the released models in the major deep learning frameworks [TensorFlow 2](https://www.tensorflow.org/), [PyTorch](https://pytorch.org/) and [Jax](https://jax.readthedocs.io/en/latest/index.html)/[Flax](http://flax.readthedocs.io).

We hope that the computer vision community will benefit by employing more powerful ImageNet-21k pretrained models as opposed to conventional models pre-trained on the ILSVRC-2012 dataset.

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