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andakm
/
swin-tiny-patch4-window7-224

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 andakm/swin-tiny-patch4-window7-224 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use andakm/swin-tiny-patch4-window7-224 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-classification", model="andakm/swin-tiny-patch4-window7-224")
    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("andakm/swin-tiny-patch4-window7-224")
    model = AutoModelForImageClassification.from_pretrained("andakm/swin-tiny-patch4-window7-224")
  • Notebooks
  • Google Colab
  • Kaggle
swin-tiny-patch4-window7-224 / runs
14.6 kB
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  • 1 contributor
History: 9 commits
andakm's picture
andakm
Training in progress, epoch 8
2333369 over 2 years ago
  • Nov22_06-28-16_b05f562b438d
    Model save over 2 years ago
  • Nov22_06-37-10_b05f562b438d
    Training in progress, epoch 8 over 2 years ago