Instructions to use agcaabdurrahim/tumor_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use agcaabdurrahim/tumor_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://agcaabdurrahim/tumor_model") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a8e9ab9b648dfb8ed4c10969ed313d2dcddaf2727cf25be296d2bf508d9d4a5b
- Size of remote file:
- 191 MB
- SHA256:
- 1c9893dda0c1eba2b6b257062430b6d7e5a12bf92fe0a08a55982ea5b7e62c6d
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