code: def test_large_model_tf(self):
      question_answerer = pipeline("question-answering", framework="tf")
      outputs = question_answerer(
          question="Where was HuggingFace founded ?",
          context="HuggingFace was founded in Paris.",
      )
  
      self.assertEqual(
          nested_simplify(outputs),
          {"score": 0.979, "start": 27, "end": 32, "answer": "Paris"},
      )
  
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 12 for calling the QAPipelineTests obj's underlying member method code with example usage: obj.test_large_model_tf() without return types