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HawkFranklin-Research
/
PelliScope

Image Classification
Keras
PyTorch
dermatology
medical-imaging
multiple-instance-learning
tensorflow
tipsv2
binary-classification
infectious-screening
Model card Files Files and versions
xet
Community

Instructions to use HawkFranklin-Research/PelliScope with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Keras

    How to use HawkFranklin-Research/PelliScope with Keras:

    # Available backend options are: "jax", "torch", "tensorflow".
    import os
    os.environ["KERAS_BACKEND"] = "jax"
    
    import keras
    
    model = keras.saving.load_model("hf://HawkFranklin-Research/PelliScope")
    
  • Notebooks
  • Google Colab
  • Kaggle

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  • .gitattributes
    1.52 kB
    Add DermoLens TIPSv2 MIL deployment package about 1 month ago
  • README.deploy-note.md
    735 Bytes
    Add DermoLens TIPSv2 MIL deployment package about 1 month ago
  • README.md
    4.34 kB
    Add DermoLens TIPSv2 MIL deployment package about 1 month ago
  • config.json
    531 Bytes
    Add DermoLens TIPSv2 MIL deployment package about 1 month ago
  • configuration_tips.py
    1.29 kB
    Add DermoLens TIPSv2 MIL deployment package about 1 month ago
  • image_encoder.py
    30.8 kB
    Add DermoLens TIPSv2 MIL deployment package about 1 month ago
  • modeling_tips.py
    5.36 kB
    Add DermoLens TIPSv2 MIL deployment package about 1 month ago
  • text_encoder.py
    10.6 kB
    Add DermoLens TIPSv2 MIL deployment package about 1 month ago
  • tokenizer.model
    131 Bytes
    xet
    Add DermoLens TIPSv2 MIL deployment package about 1 month ago