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This model is the MaskBit tokenizer with a vocabulary size of 10bits. It uses a downsampling factor of 16 and is trained on ImageNet for images of resolution 256.
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You can find more details on the [project page](https://weber-mark.github.io/projects/maskbit.html) and in the [paper](https://arxiv.org/abs/2409.16211).
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