How can I convert a trained generative model into TensorFlow Lite for mobile deployment

Question

Can you explain how I can convert a trained generative model into TensorFlow Lite for mobile deployment?

Answer 1

To convert a trained generative model into TensorFlow Lite (TFLite) for mobile deployment, you can use TensorFlow's TFLiteConverter. Here is the code you can refer to:

In the above code, we are using the following:

• Load the Model: Load the trained model using tf.keras.models.load_model() or any equivalent API.
• Convert to TFLite:
  • Use TFLiteConverter.from_keras_model() for Keras models.
  • For SavedModel format, use TFLiteConverter.from_saved_model().
• Save the TFLite Model: Write the converted model to a .tflite file.

Hence, by referring to the following, you can convert a trained generative model into TensorFlow Lite for mobile deployment