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akashmaggon
/
classification-vit

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

Instructions to use akashmaggon/classification-vit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use akashmaggon/classification-vit with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-classification", model="akashmaggon/classification-vit")
    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("akashmaggon/classification-vit")
    model = AutoModelForImageClassification.from_pretrained("akashmaggon/classification-vit")
  • Notebooks
  • Google Colab
  • Kaggle
classification-vit / runs
12.5 kB
Ctrl+K
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  • 1 contributor
History: 5 commits
akashmaggon's picture
akashmaggon
Training in progress, epoch 4
9705b28 verified over 2 years ago
  • Feb11_08-16-05_b859d709fdd1
    Training in progress, epoch 1 over 2 years ago
  • Feb11_08-22-50_b859d709fdd1
    Training in progress, epoch 4 over 2 years ago