code: def load_cifar10_model_tf():
      """Load a pre-trained LeNet classification model (architecture at quantus/helpers/models)."""
      model = CifarCNNModel()
      model.load_weights("tests/assets/cifar_tf_weights.keras")
      return model
  
imports: import pytest
  import pickle
  import torch
  import numpy
  from keras.datasets import cifar10
  import pandas
  from sklearn.model_selection import train_test_split
  import os
  from quantus.helpers.model.models import LeNet, LeNetTF, CifarCNNModel, ConvNet1D, ConvNet1DTF, TitanicSimpleTFModel, TitanicSimpleTorchModel
label_desc: Use image node_id 3 for calling a global function with example usage: load_cifar10_model_tf() and returns: model