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tcvrishank
/
histo_train_deit

Image Classification
Transformers
PyTorch
TensorBoard
deit
Generated from Trainer
Eval Results (legacy)
Model card Files Files and versions
xet
Metrics Training metrics Community
1

Instructions to use tcvrishank/histo_train_deit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use tcvrishank/histo_train_deit with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-classification", model="tcvrishank/histo_train_deit")
    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("tcvrishank/histo_train_deit")
    model = AutoModelForImageClassification.from_pretrained("tcvrishank/histo_train_deit", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
histo_train_deit / runs
79.9 kB
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  • 1 contributor
History: 1 commit
tcvrishank's picture
tcvrishank
Model save
47337fd over 3 years ago
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