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:
- 956e2ddd029a37c2705e71f214b057ff88746b9f1f8745002272347d49b9edce
- Size of remote file:
- 253 kB
- SHA256:
- f426d507eda872079a3bc6c3ff324b6ffd134b171aa3b4027155fb4bd4c763bf
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