A simple TensorFlow SavedModel that demonstrates asset file loading capabilities.
This model showcases TensorFlow's asset management features, specifically how SavedModels can reference and load external asset files during model execution.
1import tensorflow as tf
2
3# Load the model
4model = tf.saved_model.load("./")
5
6# The model can read asset files as part of its computation
7# Assets are automatically loaded when the model is used
This model can be used to understand how TensorFlow handles asset files in production environments, particularly useful for:
This is a minimal example focusing on asset loading patterns commonly used in production ML systems.
