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pk3388
/
swinv2-tiny-patch4-window8-256

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 pk3388/swinv2-tiny-patch4-window8-256 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use pk3388/swinv2-tiny-patch4-window8-256 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-classification", model="pk3388/swinv2-tiny-patch4-window8-256")
    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("pk3388/swinv2-tiny-patch4-window8-256")
    model = AutoModelForImageClassification.from_pretrained("pk3388/swinv2-tiny-patch4-window8-256")
  • Notebooks
  • Google Colab
  • Kaggle
swinv2-tiny-patch4-window8-256 / runs
16.8 kB
Ctrl+K
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  • 1 contributor
History: 8 commits
pk3388's picture
pk3388
Training in progress, epoch 8
3de4298 verified about 2 years ago
  • May05_07-10-57_3f0ecacdc517
    Training in progress, epoch 8 about 2 years ago