google / vit-base-patch16-224-in21k
Vision86M846.4K432Updated Feb 5, 2024
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Last updated
Feb 5, 2024
License
apache-2.0
Vision Transformer (ViT) model pre-trained on ImageNet-21k (14 million images, 21,843 classes) at resolution 224x224. It was introduced in the paper An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale by Dosovitskiy et al. and first released in this repo…
Tasks & library
- image feature extraction
- transformers
Tags
- transformers
- pytorch
- tf
- jax
- vit
- image-feature-extraction
Technical specifications
Parameters86M
Librarytransformers
LanguagesNot available
Licenseapache-2.0
