code: def get_test_pipeline(self, model, tokenizer, feature_extractor):
      text_generator = TextGenerationPipeline(
          model=model, tokenizer=tokenizer
      )
      return text_generator, ["This is a test", "Another test"]
  
file_path: H2O/h2o_flexgen/benchmark/third_party/transformers/tests/pipelines/test_pipelines_text_generation.py
imports: import unittest
  from transformers import MODEL_FOR_CAUSAL_LM_MAPPING, TF_MODEL_FOR_CAUSAL_LM_MAPPING, TextGenerationPipeline, pipeline
  from transformers.testing_utils import require_accelerate, require_tf, require_torch, require_torch_gpu, require_torch_or_tf
  from .test_pipelines_common import ANY, PipelineTestCaseMeta
label_desc: Use image node_id 3 for calling the TextGenerationPipelineTests obj's underlying member method code with example usage: obj.get_test_pipeline(model, tokenizer, feature_extractor) and returns: text_generator,  list