code: def test_small_model_pt_iterator(self):
      # https://github.com/huggingface/transformers/issues/18510
      pipe = pipeline(
          model="sshleifer/tiny-distilbert-base-cased-distilled-squad",
          batch_size=16,
          framework="pt",
      )
  
      def data():
          for i in range(10):
              yield {
                  "question": "Where was HuggingFace founded ?",
                  "context": "HuggingFace was founded in Paris.",
              }
  
      for outputs in pipe(data()):
          self.assertEqual(
              nested_simplify(outputs),
              {
                  "score": 0.01,
                  "start": 0,
                  "end": 11,
                  "answer": "HuggingFace",
              },
          )
  
imports: import unittest
  from transformers import MODEL_FOR_QUESTION_ANSWERING_MAPPING, TF_MODEL_FOR_QUESTION_ANSWERING_MAPPING, LxmertConfig, QuestionAnsweringPipeline
  from transformers.data.processors.squad import SquadExample
  from transformers.pipelines import QuestionAnsweringArgumentHandler, pipeline
  from transformers.testing_utils import is_pipeline_test, nested_simplify, require_tf, require_torch, require_torch_or_tf, slow
  from .test_pipelines_common import ANY
label_desc: Use image node_id 4 for calling the QAPipelineTests obj's underlying member method code with example usage: obj.test_small_model_pt_iterator() without return types