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RobertoSonic
/
swinv2-tiny-patch4-window8-256-dmae-humeda-DAV21

Image Classification
Transformers
TensorBoard
Safetensors
swinv2
Generated from Trainer
Model card Files Files and versions
xet
Metrics Training metrics Community

Instructions to use RobertoSonic/swinv2-tiny-patch4-window8-256-dmae-humeda-DAV21 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use RobertoSonic/swinv2-tiny-patch4-window8-256-dmae-humeda-DAV21 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-classification", model="RobertoSonic/swinv2-tiny-patch4-window8-256-dmae-humeda-DAV21")
    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("RobertoSonic/swinv2-tiny-patch4-window8-256-dmae-humeda-DAV21")
    model = AutoModelForImageClassification.from_pretrained("RobertoSonic/swinv2-tiny-patch4-window8-256-dmae-humeda-DAV21")
  • Notebooks
  • Google Colab
  • Kaggle
swinv2-tiny-patch4-window8-256-dmae-humeda-DAV21 / runs
54.7 kB
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  • 1 contributor
History: 88 commits
RobertoSonic's picture
RobertoSonic
End of training
ad16e17 verified over 1 year ago
  • Jan21_15-51-11_aabb36fdf211
    End of training over 1 year ago
  • Jan21_16-36-23_31423d62c322
    End of training over 1 year ago