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masafresh
/
swin-transformer2

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-transformer2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use masafresh/swin-transformer2 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-classification", model="masafresh/swin-transformer2")
    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-transformer2")
    model = AutoModelForImageClassification.from_pretrained("masafresh/swin-transformer2")
  • Notebooks
  • Google Colab
  • Kaggle
swin-transformer2 / logs
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  • 1 contributor
History: 97 commits
masafresh's picture
masafresh
Model save
ea24105 verified over 1 year ago
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  • events.out.tfevents.1731697065.AZHAR-PC.1074714.0
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