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:
- 93527e31dd08787d36d9befeba6efeaf8df19139392417f221e97527de9ab03e
- Size of remote file:
- 1.31 MB
- SHA256:
- 33ad01963ddae764d20098d55b94c1dd0ca847ad1c6c5ae12f6c1188e61f0eaa
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