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
File size: 230 Bytes
1d197a4 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 | {
"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
}
} |