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
| """Compatibility entrypoint for the DeepIVUS CLI. | |
| Implementation has been moved into the ``deepivus`` package to keep modules | |
| small and easier to maintain. | |
| """ | |
| from deepivus.cli import cli | |
| if __name__ == "__main__": | |
| cli() | |