code: def get_test_pipeline(self, model, tokenizer, feature_extractor):
      summarizer = SummarizationPipeline(
          model=model, tokenizer=tokenizer
      )
      return summarizer, [
          "(CNN)The Palestinian Authority officially became",
          "Some other text",
      ]
  
file_path: H2O/h2o_flexgen/benchmark/third_party/transformers/tests/pipelines/test_pipelines_summarization.py
imports: import unittest
  from transformers import MODEL_FOR_SEQ_TO_SEQ_CAUSAL_LM_MAPPING, TF_MODEL_FOR_SEQ_TO_SEQ_CAUSAL_LM_MAPPING, LEDConfig, LongT5Config, SummarizationPipeline, T5Config, pipeline
  from transformers.testing_utils import require_tf, require_torch, slow, torch_device
  from transformers.tokenization_utils import TruncationStrategy
  from .test_pipelines_common import ANY, PipelineTestCaseMeta
label_desc: Use image node_id 1 for calling the SummarizationPipelineTests obj's underlying member method code with example usage: obj.get_test_pipeline(model, tokenizer, feature_extractor) and returns: summarizer,  list