code: def test_detection_zoo_error():
      with pytest.raises(ValueError):
          _ = detection.zoo.detection_predictor(
              "my_fancy_model", pretrained=False
          )
  
imports: import os
  import tempfile
  import numpy
  import onnxruntime
  import psutil
  import pytest
  import tensorflow
  from doctr.file_utils import CLASS_NAME
  from doctr.io import DocumentFile
  from doctr.models import detection
  from doctr.models.detection._utils import dilate, erode
  from doctr.models.detection.predictor import DetectionPredictor
  from doctr.models.preprocessor import PreProcessor
  from doctr.models.utils import export_model_to_onnx
label_desc: Use image node_id 5 for calling a global function with example usage: test_detection_zoo_error() without return types