code: def test_small_model_tf(self):
      question_answerer = pipeline(
          "question-answering",
          model="sshleifer/tiny-distilbert-base-cased-distilled-squad",
          framework="tf",
      )
      outputs = question_answerer(
          question="Where was HuggingFace founded ?",
          context="HuggingFace was founded in Paris.",
      )
  
      self.assertEqual(
          nested_simplify(outputs),
          {
              "score": 0.011,
              "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 nested_simplify, require_tf, require_torch, require_torch_or_tf, slow
  from .test_pipelines_common import ANY, PipelineTestCaseMeta
label_desc: Use image node_id 8 for calling the QAPipelineTests obj's underlying member method code with example usage: obj.test_small_model_tf() without return types