Save model 'universal-sentence-encoder' to disk

universal-sentence-encoder.py

import tensorflow as tf
import tensorflow_hub as hub

# Check if the Universal Sentence Encoder can be loaded from the provided link
model_url = "https://tfhub.dev/google/universal-sentence-encoder/4"

try:
    model = hub.load(model_url)
#    model.save('universal-sentence-encoder.model')
    tf.saved_model.save(model, 'universal-sentence-encoder.model')
    print("Model loaded successfully.")
except Exception as e:
    print(f"Error loading model: {e}")