Instructions to use YassinHegazy/xray-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use YassinHegazy/xray-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://YassinHegazy/xray-model") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 542207f811f6a45751b632d380b42e4560d4ea055fef3a9774909eafb30dae2f
- Size of remote file:
- 1.7 GB
- SHA256:
- c4426ad016f13fb792c81df0788dd02a7a0f6ce43af15860085ff8f0e0aa45bb
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