code: def predict(self, texts, target_words=None, n=1):
      src_translated_texts = self.translate_one_step_batched(
          texts, self.src_tokenizer, self.src_model
      )
      tgt_translated_texts = self.translate_one_step_batched(
          src_translated_texts, self.tgt_tokenizer, self.tgt_model
      )
  
      return tgt_translated_texts
  
imports: from nlpaug.model.lang_models import LanguageModels
label_desc: Use image node_id 3 for calling the MtTransformers obj's underlying member method code with example usage: obj.predict(texts, target_words, n) and returns: tgt_translated_texts