code: def test_small_model_pt(self):
      vqa_pipeline = pipeline(
          "visual-question-answering",
          model="hf-internal-testing/tiny-vilt-random-vqa",
      )
      image = "./tests/fixtures/tests_samples/COCO/000000039769.png"
      question = "How many cats are there?"
  
      outputs = vqa_pipeline(
          image=image, question="How many cats are there?", top_k=2
      )
      self.assertEqual(
          outputs,
          [
              {"score": ANY(float), "answer": ANY(str)},
              {"score": ANY(float), "answer": ANY(str)},
          ],
      )
  
      outputs = vqa_pipeline(
          {"image": image, "question": question}, top_k=2
      )
      self.assertEqual(
          outputs,
          [
              {"score": ANY(float), "answer": ANY(str)},
              {"score": ANY(float), "answer": ANY(str)},
          ],
      )
  
file_path: H2O/h2o_flexgen/benchmark/third_party/transformers/tests/pipelines/test_pipelines_visual_question_answering.py
imports: import unittest
  from transformers import MODEL_FOR_VISUAL_QUESTION_ANSWERING_MAPPING, is_vision_available
  from transformers.pipelines import 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 3 for calling the VisualQuestionAnsweringPipelineTests obj's underlying member method code with example usage: obj.test_small_model_pt() without return types