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bombshelll
/
swin-brain-abnormalities-classification-fold2

Image Classification
Transformers
Safetensors
swin
Generated from Trainer
Model card Files Files and versions
xet
Community

Instructions to use bombshelll/swin-brain-abnormalities-classification-fold2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use bombshelll/swin-brain-abnormalities-classification-fold2 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-classification", model="bombshelll/swin-brain-abnormalities-classification-fold2")
    pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")
    # pip install -U transformers accelerate
    # Load model directly
    from transformers import AutoImageProcessor, AutoModelForImageClassification
    
    processor = AutoImageProcessor.from_pretrained("bombshelll/swin-brain-abnormalities-classification-fold2")
    model = AutoModelForImageClassification.from_pretrained("bombshelll/swin-brain-abnormalities-classification-fold2", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
swin-brain-abnormalities-classification-fold2
110 MB
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  • 1 contributor
History: 2 commits
bombshelll's picture
bombshelll
Model save
c008b0b verified 12 months ago
  • .gitattributes
    1.52 kB
    initial commit 12 months ago
  • README.md
    2.5 kB
    Model save 12 months ago
  • config.json
    1.1 kB
    Model save 12 months ago
  • model.safetensors
    110 MB
    xet
    Model save 12 months ago
  • preprocessor_config.json
    337 Bytes
    Model save 12 months ago
  • training_args.bin
    5.3 kB
    xet
    Model save 12 months ago