Instructions to use Aditya2162/ivus-segmentation with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use Aditya2162/ivus-segmentation with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://Aditya2162/ivus-segmentation") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ff0ce63e15af4f38188ac2cbdb59d82d3239032eb01b713a20704c96f6c36c4f
- Size of remote file:
- 21.8 MB
- SHA256:
- 01107332ec0e8f5e9ecac762e7f96917b52b2fc64b82acbd1f280b86db060e82
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