code: def test_small_model_tf(self):
      text_generator = pipeline(
          task="text-generation",
          model="sshleifer/tiny-ctrl",
          framework="tf",
      )
  
      # Using `do_sample=False` to force deterministic output
      outputs = text_generator("This is a test", do_sample=False)
      self.assertEqual(
          outputs,
          [
              {
                  "generated_text": (
                      "This is a test FeyFeyFey(Croatis.), s.), Cannes Cannes Cannes 閲閲Cannes Cannes Cannes 攵"
                      " please,"
                  )
              }
          ],
      )
  
      outputs = text_generator(
          ["This is a test", "This is a second test"], do_sample=False
      )
      self.assertEqual(
          outputs,
          [
              [
                  {
                      "generated_text": (
                          "This is a test FeyFeyFey(Croatis.), s.), Cannes Cannes Cannes 閲閲Cannes Cannes Cannes 攵"
                          " please,"
                      )
                  }
              ],
              [
                  {
                      "generated_text": (
                          "This is a second test Chieftain Chieftain prefecture prefecture prefecture Cannes Cannes"
                          " Cannes 閲閲Cannes Cannes Cannes 攵 please,"
                      )
                  }
              ],
          ],
      )
  
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 2 for calling the TextGenerationPipelineTests obj's underlying member method code with example usage: obj.test_small_model_tf() without return types