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jaypratap
/
vit-base-patch16-224-classifier

Image Classification
Transformers
TensorBoard
Safetensors
vit
Generated from Trainer
Eval Results (legacy)
Model card Files Files and versions
xet
Metrics Training metrics Community

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

  • Libraries
  • Transformers

    How to use jaypratap/vit-base-patch16-224-classifier with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-classification", model="jaypratap/vit-base-patch16-224-classifier")
    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("jaypratap/vit-base-patch16-224-classifier")
    model = AutoModelForImageClassification.from_pretrained("jaypratap/vit-base-patch16-224-classifier")
  • Notebooks
  • Google Colab
  • Kaggle
vit-base-patch16-224-classifier / runs
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  • 1 contributor
History: 21 commits
jaypratap's picture
jaypratap
Model save
f24bcb0 verified about 2 years ago
  • Mar19_21-58-57_ip-172-16-71-114.us-west-2.compute.internal
    Model save about 2 years ago