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pphildan
/
vit-base-patch16-224-v22

Image Classification
Transformers
PyTorch
TensorBoard
vit
Generated from Trainer
Model card Files Files and versions
xet
Metrics Training metrics Community
1

Instructions to use pphildan/vit-base-patch16-224-v22 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use pphildan/vit-base-patch16-224-v22 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-classification", model="pphildan/vit-base-patch16-224-v22")
    pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")
    # Load model directly
    from transformers import AutoImageProcessor, AutoModelForImageClassification
    
    processor = AutoImageProcessor.from_pretrained("pphildan/vit-base-patch16-224-v22")
    model = AutoModelForImageClassification.from_pretrained("pphildan/vit-base-patch16-224-v22")
  • Notebooks
  • Google Colab
  • Kaggle
vit-base-patch16-224-v22 / runs
27.2 kB
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  • 1 contributor
History: 6 commits
pphildan's picture
pphildan
Model save
ee4d73a about 3 years ago
  • May20_08-56-53_9726b5ef393e
    Model save about 3 years ago