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- import tensorflow as tf
-
- # Convert the model
- saved_model_dir = ''
- converter = tf.lite.TFLiteConverter.from_saved_model(
- saved_model_dir) # path to the SavedModel directory
- tflite_model = converter.convert()
-
- # Save the model.
- with open('model.tflite', 'wb') as f:
- f.write(tflite_model)
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