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kiselyovd
/
brain-mri-segmentation

Image Segmentation
Transformers
Safetensors
PyTorch
segformer
brain-mri
medical
medical-imaging
semantic-segmentation
Eval Results (legacy)
Model card Files Files and versions
xet
Community

Instructions to use kiselyovd/brain-mri-segmentation with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use kiselyovd/brain-mri-segmentation with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-segmentation", model="kiselyovd/brain-mri-segmentation")
    # Load model directly
    from transformers import AutoImageProcessor, SegformerForSemanticSegmentation
    
    processor = AutoImageProcessor.from_pretrained("kiselyovd/brain-mri-segmentation")
    model = SegformerForSemanticSegmentation.from_pretrained("kiselyovd/brain-mri-segmentation")
  • Notebooks
  • Google Colab
  • Kaggle
brain-mri-segmentation
900 MB
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  • 1 contributor
History: 4 commits
kiselyovd's picture
kiselyovd
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a813637 verified about 1 month ago
  • baseline
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  • checkpoints
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  • hf_export
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  • samples
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  • .gitattributes
    1.52 kB
    initial commit about 1 month ago
  • README.md
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  • best.ckpt

    Detected Pickle imports (4)

    • "torch._utils._rebuild_tensor_v2",
    • "torch.LongStorage",
    • "torch.FloatStorage",
    • "collections.OrderedDict"

    What is a pickle import?

    329 MB
    xet
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  • config.json
    1.02 kB
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  • model.safetensors
    109 MB
    xet
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  • preprocessor_config.json
    421 Bytes
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