Instructions to use PhyDCM/phydcm-models with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use PhyDCM/phydcm-models with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://PhyDCM/phydcm-models") - Notebooks
- Google Colab
- Kaggle
Upload ct_labels.json with huggingface_hub
Browse files- ct_labels.json +4 -0
ct_labels.json
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{
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"0": "notumor",
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"1": "tumor"
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}
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