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:
- cdcd0eef08358cc9dcaa580b5f28badcf33f305b3b3e10b40e70525d1c84c507
- Size of remote file:
- 30.6 MB
- SHA256:
- 1a1f11f0dfea1ef086da41d1386849761513c96393ab8b72c75be471f7887b48
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