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beit-base-patch16-224
nielsr/beit-base-patch16-224
beit-base-patch16-224 is a image classification model from nielsr. Use it when you need a label for an image. It is set up for transformers. The card lists the license as apache-2.0.
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…
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At a glance
- Task
- Image Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- beit
- Access
- Public
- Created
- Mar 2, 2022
- Updated
- Sep 13, 2021
- SHA
- 7ad81663
Datasets
Model card
From the Hugging Face model README
BEiT (base-sized model, fine-tuned on ImageNet-1k after being intermediately fine-tuned on ImageNet-22k)
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 by Hangbo Bao, Li Dong and Furu Wei and first released in this repository.
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.
- Task
- Image Classification
- Library
- transformers
- Type
- beit
- License
- apache-2.0
- Created
- Mar 2, 2022
- Updated
- Sep 13, 2021