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:
- 3fdaf73349152d85d59ac72276f172aaa52158c7192871959fc606c79de872fa
- Size of remote file:
- 23.9 MB
- SHA256:
- 3cbe7a3a036addc6be29435b0d2364dfa7b7a16b5107a8ec85b2edf78af65cbe
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