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masafresh
/
swin-transformer

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

Instructions to use masafresh/swin-transformer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use masafresh/swin-transformer with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-classification", model="masafresh/swin-transformer")
    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("masafresh/swin-transformer")
    model = AutoModelForImageClassification.from_pretrained("masafresh/swin-transformer")
  • Notebooks
  • Google Colab
  • Kaggle
swin-transformer / logs
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  • 1 contributor
History: 40 commits
masafresh's picture
masafresh
Training in progress, epoch 38
376d3b8 verified over 1 year ago
  • events.out.tfevents.1731641356.AZHAR-PC.319262.0
    5.67 kB
    xet
    Training in progress, epoch 0 over 1 year ago
  • events.out.tfevents.1731641431.AZHAR-PC.320711.0
    7.11 kB
    xet
    Model save over 1 year ago
  • events.out.tfevents.1731642530.AZHAR-PC.336147.0
    107 kB
    xet
    Training in progress, epoch 38 over 1 year ago