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:
- 6b38cf5a024fe393207101792c33f091a87de309bd924b1b3abb120970135cdb
- Size of remote file:
- 2.31 MB
- SHA256:
- 987c808995d11ddb94c8def2e898781f194a6c3d37779ac593fb82576f3e51fa
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