convert2tf.py

saved_model_dir = 'save/fine_tuning'
tf.saved_model.save(model, saved_model_dir)

converter = tf.lite.TFLiteConverter.from_saved_model(saved_model_dir)
tflite_model = converter.convert()

with open('model.tflite', 'wb') as f:
  f.write(tflite_model)
  
# download the model & labels  
  
from google.colab import files

files.download('model.tflite')
files.download('labels.txt')