tensorflow_to_TFlite.py

import tensorflow as tf
#load required libraries and functions such as load_model etc
model_path = './example.h5' #path to your model

tf_model = tf.keras.models.load_model( model_path )
converter = tf.lite.TFLiteConverter.from_keras_model( tf_model )

tf_lite_model = converter.convert()

open( 'facenet.tflite' , 'wb' ).write( tf_lite_model )