code: def get_test_pipeline(self, model, tokenizer, feature_extractor):
      object_detector = pipeline(
          "zero-shot-object-detection",
          model="hf-internal-testing/tiny-random-owlvit-object-detection",
      )
  
      examples = [
          {
              "images": "./tests/fixtures/tests_samples/COCO/000000039769.png",
              "text_queries": ["cat", "remote", "couch"],
          }
      ]
      return object_detector, examples
  
file_path: H2O/h2o_flexgen/benchmark/third_party/transformers/tests/pipelines/test_pipelines_zero_shot_object_detection.py
imports: import unittest
  from transformers import MODEL_FOR_ZERO_SHOT_OBJECT_DETECTION_MAPPING, is_vision_available, pipeline
  from transformers.testing_utils import nested_simplify, require_tf, require_torch, require_vision, slow
  from .test_pipelines_common import ANY, PipelineTestCaseMeta
label_desc: Use image node_id 1 for calling the ZeroShotObjectDetectionPipelineTests obj's underlying member method code with example usage: obj.get_test_pipeline(model, tokenizer, feature_extractor) and returns: object_detector,  examples