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:
- dfcf107518af2e21b701c87f696080c630dbb09e8e26f7998dd74a1c4188fa89
- Size of remote file:
- 13 MB
- SHA256:
- f5e4fe16bbbd1defa4e88e739a325be632d460818a05b5d3a9853ad67d686035
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