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
| import tensorflow as tf | |
| m = tf.saved_model.load("./model") | |
| print("Has call:", callable(m)) | |
| print("Num variables:", len(getattr(m, "variables", []))) | |
| print("Num trainable:", len(getattr(m, "trainable_variables", []))) | |
| print("Signatures:", list(getattr(m, "signatures", {}).keys())) | |