code: def test_en_to_de_tf(self):
      translator = pipeline(
          "translation_en_to_de",
          model="patrickvonplaten/t5-tiny-random",
          framework="tf",
      )
      outputs = translator("This is a test string", max_length=20)
      self.assertEqual(
          outputs,
          [
              {
                  "translation_text": (
                      "monoton monoton monoton monoton monoton monoton monoton monoton monoton monoton urine urine"
                      " urine urine urine urine urine urine urine"
                  )
              }
          ],
      )
  
imports: import unittest
  import pytest
  from transformers import MODEL_FOR_SEQ_TO_SEQ_CAUSAL_LM_MAPPING, TF_MODEL_FOR_SEQ_TO_SEQ_CAUSAL_LM_MAPPING, MBart50TokenizerFast, MBartConfig, MBartForConditionalGeneration, TranslationPipeline, pipeline
  from transformers.testing_utils import require_tf, require_torch, slow
  from .test_pipelines_common import ANY, PipelineTestCaseMeta
label_desc: Use image node_id 6 for calling the TranslationPipelineTests obj's underlying member method code with example usage: obj.test_en_to_de_tf() without return types