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:
- 44e2c547e0b9467e9712d0212b43d9ac17b308f7d629b4715551b7913920bd04
- Size of remote file:
- 10.6 MB
- SHA256:
- bd67e698ffdad8756801285a4c5a3cb10afa711b1b53a665c069c5d2c8e797f4
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