code: def test_small_model_tf(self):
      generator = pipeline(
          "text2text-generation",
          model="patrickvonplaten/t5-tiny-random",
          framework="tf",
      )
      # do_sample=False necessary for reproducibility
      outputs = generator("Something there", do_sample=False)
      self.assertEqual(outputs, [{"generated_text": ""}])
  
file_path: H2O/h2o_flexgen/benchmark/third_party/transformers/tests/pipelines/test_pipelines_text2text_generation.py
imports: import unittest
  from transformers import MODEL_FOR_SEQ_TO_SEQ_CAUSAL_LM_MAPPING, TF_MODEL_FOR_SEQ_TO_SEQ_CAUSAL_LM_MAPPING, Text2TextGenerationPipeline, pipeline
  from transformers.testing_utils import require_tf, require_torch
  from transformers.utils import is_torch_available
  from .test_pipelines_common import ANY, PipelineTestCaseMeta
label_desc: Use image node_id 4 for calling the Text2TextGenerationPipelineTests obj's underlying member method code with example usage: obj.test_small_model_tf() without return types