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pylu5229
/
16_label_check_point

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

Instructions to use pylu5229/16_label_check_point with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use pylu5229/16_label_check_point with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-classification", model="pylu5229/16_label_check_point")
    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("pylu5229/16_label_check_point")
    model = AutoModelForImageClassification.from_pretrained("pylu5229/16_label_check_point")
  • Notebooks
  • Google Colab
  • Kaggle
16_label_check_point / runs
88.2 kB
Ctrl+K
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  • 1 contributor
History: 7 commits
pylu5229's picture
pylu5229
End of training
1e2603e verified over 1 year ago
  • Jan21_04-44-30_0bcbd2543a7a
    Training in progress, epoch 2 over 1 year ago
  • Jan21_06-58-07_79683a9b04df
    Training in progress, epoch 2 over 1 year ago
  • Jan21_12-29-04_1b75f888b432
    End of training over 1 year ago