dermy-models/convert.py

18 lines
433 B
Python

import tensorflow as tf
MODEL = "models/dermy-binary-classifier"
model = tf.keras.models.load_model(MODEL + ".keras")
converter = tf.lite.TFLiteConverter.from_keras_model(model)
converter.allow_custom_ops = True
converter.experimental_enable_resource_variables = True
converter.experimental_new_converter = True
converted_model = converter.convert()
with open(MODEL + ".tflite", "wb") as file:
file.write(converted_model)