code: def test_translation_en_to_ro(self):
      model = self.model
      tok = T5Tokenizer.from_pretrained("t5-base")
  
      task_specific_config = getattr(
          model.config, "task_specific_params", {}
      )
      translation_config = task_specific_config.get(
          "translation_en_to_ro", {}
      )
      model.config.update(translation_config)
  
      original_input = "Taco Bell said it plans to add 2,000 locations in the US by 2022."
      expected_translation = "Taco Bell a declarat că intenţionează să adauge 2 000 de locaţii în SUA până în 2022."
  
      input_ids = tok.encode(
          model.config.prefix + original_input, return_tensors="tf"
      )
  
      output = model.generate(
          input_ids=input_ids,
          num_beams=4,
          length_penalty=2.0,
          max_length=50,
          no_repeat_ngram_size=3,
          do_sample=False,
          early_stopping=True,
      )
      translation = tok.decode(
          output[0],
          skip_special_tokens=True,
          clean_up_tokenization_spaces=False,
      )
  
      self.assertEqual(translation, expected_translation)
  
imports: from __future__ import annotations
  import unittest
  from transformers import T5Config, is_tf_available
  from transformers.testing_utils import require_sentencepiece, require_tf, require_tokenizers, slow
  from transformers.utils import cached_property
  from ...test_configuration_common import ConfigTester
  from ...test_modeling_tf_common import TFModelTesterMixin, ids_tensor, random_attention_mask
  from ...test_pipeline_mixin import PipelineTesterMixin
label_desc: Use image node_id 8 for calling the TFT5ModelIntegrationTests obj's underlying member method code with example usage: obj.test_translation_en_to_ro() without return types