How to load two different models of tensorflow?

@ryleigh 

To load two different models in tensorflow, you can use the tf.saved_model.load() function to load each model separately. Here is an example of how you can load two different models:

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import tensorflow as tf

# Load the first model
model1 = tf.saved_model.load('path_to_first_model')

# Load the second model
model2 = tf.saved_model.load('path_to_second_model')

# You can now use both models for predictions or any other tasks

Make sure to replace 'path_to_first_model' and 'path_to_second_model' with the actual paths to the directories containing the saved models on your system.