Hugging Face's logo

nielsr
/
beit-large-patch16-224-pt22k-ft22k

Image Classification
Transformers
PyTorch
beit
Inference Endpoints
Model card Files Community
beit-large-patch16-224-pt22k-ft22k / README.md
nielsr's picture
nielsr HF staff
Add model card
6ae4dfa
preview code
|
raw history blame contribute delete
No virus
764 Bytes
metadata
license: apache-2.0
tags:
  - image-classification
datasets:
  - imagenet
  - imagenet-21k

BEiT (large-sized model, 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.