code: def get_test_pipeline(self, model, tokenizer, feature_extractor):
      pipe = pipeline(
          "image-to-text",
          model=model,
          tokenizer=tokenizer,
          feature_extractor=feature_extractor,
      )
      examples = [
          Image.open(
              "./tests/fixtures/tests_samples/COCO/000000039769.png"
          ),
          "./tests/fixtures/tests_samples/COCO/000000039769.png",
      ]
      return pipe, examples
  
file_path: H2O/h2o_flexgen/benchmark/third_party/transformers/tests/pipelines/test_pipelines_image_to_text.py
imports: import unittest
  from transformers import MODEL_FOR_VISION_2_SEQ_MAPPING, TF_MODEL_FOR_VISION_2_SEQ_MAPPING, is_vision_available
  from transformers.pipelines import pipeline
  from transformers.testing_utils import require_tf, require_torch, require_vision, slow
  from .test_pipelines_common import ANY, PipelineTestCaseMeta
label_desc: Use image node_id 1 for calling the ImageToTextPipelineTests obj's underlying member method code with example usage: obj.get_test_pipeline(model, tokenizer, feature_extractor) and returns: pipe,  examples