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README.md
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---
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license: apache-2.0
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tags:
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- image-classification
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datasets:
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- imagenet
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- imagenet-21k
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---
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# BEiT (large-sized model, fine-tuned on ImageNet-22k)
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BEiT (BERT pre-training of Image Transformers) model pre-trained in a self-supervised way on ImageNet-22k (14 million images, 21,841 classes) at resolution 224x224, and also fine-tuned on the same dataset at the same resolution. It was introduced in the paper [BEiT: BERT Pre-Training of Image Transformers](https://arxiv.org/abs/2106.08254) by Hangbo Bao, Li Dong and Furu Wei and first released in [this repository](https://github.com/microsoft/unilm/tree/master/beit).
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Disclaimer: The team releasing BEiT did not write a model card for this model so this model card has been written by the Hugging Face team.
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