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
| { | |
| "unique_sources": { | |
| "train": 20, | |
| "val": 20, | |
| "test": 20 | |
| }, | |
| "pairwise_overlap": { | |
| "train_val": 20, | |
| "train_test": 20, | |
| "val_train": 20, | |
| "val_test": 20, | |
| "test_train": 20, | |
| "test_val": 20 | |
| } | |
| } |