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:
- 8398f011c9ba53863394caf5309ce159b460ff0eeea9c6e2be4f0008ca2ee11b
- Size of remote file:
- 253 kB
- SHA256:
- 3860565d1bd2daeca152dd740e492815ba87bfd6f18a521a3e2f4844be2d4212
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