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tf.lite.TFLiteConverter.from_keras_model(quantize_model) converter.optimizations = [tf.lite.Optimize.DEFAULT] tflite_model = converter.convert() # Save the quantized model with open('quantized_model.tflite', 'wb') as f: f.write(tflite_model) This code snippet assumes that you have a trained