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cvmil
/
beit-base-patch16-224_augmented-v2_fft

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

Instructions to use cvmil/beit-base-patch16-224_augmented-v2_fft with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use cvmil/beit-base-patch16-224_augmented-v2_fft with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-classification", model="cvmil/beit-base-patch16-224_augmented-v2_fft")
    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("cvmil/beit-base-patch16-224_augmented-v2_fft")
    model = AutoModelForImageClassification.from_pretrained("cvmil/beit-base-patch16-224_augmented-v2_fft")
  • Notebooks
  • Google Colab
  • Kaggle
beit-base-patch16-224_augmented-v2_fft / logs
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  • 1 contributor
History: 17 commits
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wilsondt
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