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:
- 6f9db3f82d6bce94da5bc02aab876c2143c999f1a3b29d1d3c2e27fef81fc359
- Size of remote file:
- 34.1 MB
- SHA256:
- 349a5c710fcf9b281e98df610c2231630b63260e1a81af0dbcae641796fad827
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