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Snarcy
/
RadioDino-b16

Image Feature Extraction
timm
PyTorch
Safetensors
vit
radiomics
medical-imaging
vision-transformer
dino
dinov2
feature-extraction
foundation-model
Eval Results (legacy)
Model card Files Files and versions
xet
Community
1

Instructions to use Snarcy/RadioDino-b16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • timm

    How to use Snarcy/RadioDino-b16 with timm:

    import timm
    
    model = timm.create_model("hf_hub:Snarcy/RadioDino-b16", pretrained=True)
  • Notebooks
  • Google Colab
  • Kaggle
RadioDino-b16
Ctrl+K
Ctrl+K
  • 2 contributors
History: 10 commits
Snarcy's picture
Snarcy
Update README.md
2c0994d verified 3 months ago
  • .gitattributes
    1.52 kB
    initial commit about 1 year ago
  • README.md
    5.02 kB
    Update README.md 3 months ago
  • config.json
    1.08 kB
    RadioDino_config about 1 year ago
  • model.safetensors
    343 MB
    xet
    RadioDino_config about 1 year ago
  • pytorch_model.bin

    Detected Pickle imports (3)

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

    What is a pickle import?

    343 MB
    xet
    RadioDino_config about 1 year ago