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:
- 8847a265e8dfa64f53a532b9fb532dfe101ce569e08dad15387591f5f5e50be2
- Size of remote file:
- 19.8 MB
- SHA256:
- f2b0c0be3fb1ff6920f59f31c25adbb239efbf91f221c383f7d13cf805895337
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