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:
- 8663e091ca7e4963528f4cb38e9054a8d6f5e0dfe0d89f204534c5ab6df4b136
- Size of remote file:
- 9.17 MB
- SHA256:
- fae476f3c82dbf9b241807715d20f4dc1e625268304dca405297cf6d3afe1416
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