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Augusto777
/
swinv2-tiny-patch4-window8-256-DMAE-4e-3

Image Classification
Transformers
TensorBoard
Safetensors
swinv2
Generated from Trainer
Eval Results (legacy)
Model card Files Files and versions
xet
Metrics Training metrics Community

Instructions to use Augusto777/swinv2-tiny-patch4-window8-256-DMAE-4e-3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Augusto777/swinv2-tiny-patch4-window8-256-DMAE-4e-3 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-classification", model="Augusto777/swinv2-tiny-patch4-window8-256-DMAE-4e-3")
    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("Augusto777/swinv2-tiny-patch4-window8-256-DMAE-4e-3")
    model = AutoModelForImageClassification.from_pretrained("Augusto777/swinv2-tiny-patch4-window8-256-DMAE-4e-3")
  • Notebooks
  • Google Colab
  • Kaggle
swinv2-tiny-patch4-window8-256-DMAE-4e-3 / runs
59.6 kB
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  • 1 contributor
History: 70 commits
Augusto777's picture
Augusto777
Model save
24e935d verified over 1 year ago
  • Dec02_16-17-51_DESKTOP-SKBE9FB
    End of training over 1 year ago
  • Dec02_22-26-45_7729759f1625
    Training in progress, epoch 0 over 1 year ago
  • Dec02_22-29-57_7729759f1625
    Training in progress, epoch 9 over 1 year ago
  • Dec02_22-32-38_7729759f1625
    Model save over 1 year ago