class_docstr: Test of T5 model.
class_docstr_tok: ["Test","of","T5","model","."]
docstr: From Huggingface.
docstr_tok: ["From","Huggingface","."]
code: def test_translation_en_to_ro(self):
      """
      From Huggingface.
      """
      cfg_name = "translation_en_to_ro"
      cfg = TASK_CONFIGS[cfg_name]
      self.agent.opt["t5_generation_config"] = cfg_name
      en_text = "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."
  
      text_vec = (
          torch.LongTensor(
              self.agent.dict.txt2vec(cfg["prefix"] + en_text)
          )
          .unsqueeze(0)
          .to(device)
      )
      generations, _ = self.agent._generate(
          Batch(text_vec=text_vec), beam_size=4, max_ts=300
      )
      translation = self.agent.dict.vec2txt(
          generations[0][0], clean_up_tokenization_spaces=False
      )
      self.assertEqual(translation, expected_translation)
  
imports: import os
  import torch
  import unittest
  from parlai.core.agents import create_agent
  from parlai.core.params import ParlaiParser
  from parlai.core.torch_agent import Batch
  import parlai.utils.testing
  from parlai.utils.torch import padded_tensor
  from parlai.utils.testing import tempdir
  from tests.test_distributed import _AbstractTest
label_desc: Use image node_id 7 for calling the TestT5Model obj's underlying member method code with example usage: obj.test_translation_en_to_ro() without return types