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owkin
/
phikon

Feature Extraction
Transformers
PyTorch
Safetensors
English
vit
image-feature-extraction
biology
medical
cancer
Model card Files Files and versions
xet
Community
2

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

  • Libraries
  • Transformers

    How to use owkin/phikon with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="owkin/phikon")
    # Load model directly
    from transformers import AutoImageProcessor, AutoModel
    
    processor = AutoImageProcessor.from_pretrained("owkin/phikon")
    model = AutoModel.from_pretrained("owkin/phikon")
  • Inference
  • Notebooks
  • Google Colab
  • Kaggle
phikon
826 MB
Ctrl+K
Ctrl+K
  • 3 contributors
History: 28 commits
afiliot's picture
afiliot
Upload pretraining_dataset_coordinates.zip
057cc02 verified 11 months ago
  • .gitattributes
    1.52 kB
    initial commit over 2 years ago
  • README.md
    2.49 kB
    Update README.md over 1 year ago
  • config.json
    492 Bytes
    Update `layer_norm_eps` to match timm (#1) over 2 years ago
  • model.safetensors
    346 MB
    xet
    Adding `safetensors` variant of this model (#2) over 2 years ago
  • preprocessor_config.json
    171 Bytes
    Create preprocessor_config.json over 2 years ago
  • pretraining_dataset_coordinates.zip

    Pickle imports

    • No problematic imports detected

    What is a pickle import?

    135 MB
    xet
    Upload pretraining_dataset_coordinates.zip 11 months ago
  • pytorch_model.bin

    Detected Pickle imports (3)

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

    What is a pickle import?

    346 MB
    xet
    Upload model over 2 years ago