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
| model_checkpoint_path: "ckpt-13" | |
| all_model_checkpoint_paths: "ckpt-13" | |
| all_model_checkpoint_timestamps: 1771887861.2384763 | |
| last_preserved_timestamp: 1771886902.863414 | |