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:
- 3816a7e208e6ee3c7e7635733921f702efc3c09bd2c6ef5a53ec2cd5cde8db29
- Size of remote file:
- 98 Bytes
- SHA256:
- 582638ae4570b8fd2023e5b677be5d3b14064949fef954bc33af09a099501d46
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