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:
- 643007440a74989642ec645c89de90bfa7b708b5640be4d3cb29cc105dbaf2fe
- Size of remote file:
- 5.27 MB
- SHA256:
- 4fd79f4f30afb883581756ef92259e85835816a624459e6fb11b93945722c833
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