Instructions to use TaliZG03/kidney_normal_CT_classifier_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use TaliZG03/kidney_normal_CT_classifier_model with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://TaliZG03/kidney_normal_CT_classifier_model") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7d03d6cd973fe06809b6d7ab997718c3ecdc88147c473f76bb094f3ebae370a5
- Size of remote file:
- 220 MB
- SHA256:
- 77feb3a4d3fbe037ace3c0f30fcea8891b7e6b148f8d508cff7b696aa11f5cf1
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