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:
- 98d5d1d61f8439db7e3b275be701c91a625a58060eb82737d1236ad4116d2818
- Size of remote file:
- 28.7 MB
- SHA256:
- 84db9e7f2df31266b9b46c03c95746aadf4086ecb8df34a4d8f42c85bc63ec1a
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