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