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:
- a08f7cbd6d3a6ae145add1dc7d8ace6828f8e4d80966805bbbca4cd9b5f52216
- Size of remote file:
- 2.11 MB
- SHA256:
- 7f97925baa62ccde877b2b33eecd3d5afa40e5b096182cfb45d6951fcd8ec8f2
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