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amiguel
/
mri_classifier

Image Classification
Transformers
google-tensorflow TensorFlow
vit
generated_from_keras_callback
Model card Files Files and versions
xet
Community

Instructions to use amiguel/mri_classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use amiguel/mri_classifier with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-classification", model="amiguel/mri_classifier")
    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("amiguel/mri_classifier")
    model = AutoModelForImageClassification.from_pretrained("amiguel/mri_classifier")
  • Notebooks
  • Google Colab
  • Kaggle
mri_classifier
343 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
amiguel's picture
amiguel
End of training
cea8bc5 almost 2 years ago
  • .gitattributes
    1.52 kB
    initial commit almost 2 years ago
  • README.md
    2.26 kB
    End of training almost 2 years ago
  • config.json
    654 Bytes
    End of training almost 2 years ago
  • preprocessor_config.json
    325 Bytes
    End of training almost 2 years ago
  • tf_model.h5
    343 MB
    xet
    End of training almost 2 years ago