code: def get_lite_runner(tflite_buffer: bytearray) -> "LiteRunner":
      """Returns a `LiteRunner` from flatbuffer of the TFLite model."""
      lite_runner = LiteRunner(tflite_buffer)
      return lite_runner
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import os
  import tempfile
  from typing import Any, Callable, Dict, List, Optional, Sequence, Tuple, Union
  import numpy
  import tensorflow
  from mediapipe.model_maker.python.core.data import dataset
  from mediapipe.model_maker.python.core.utils import quantization
label_desc: Use image node_id 8 for calling a global function with example usage: get_lite_runner(tflite_buffer) and returns: lite_runner