code: def inference(
      self,
      texts: texts_type,
      use_tqdm: bool = True,
      **kwargs: Any,
  ) -> np_dict_type:
      return super().inference(
          texts, use_tqdm, stack_outputs=False, **kwargs
      )
  
file_path: carefree-learn/cflearn/models/nlp/transformers/opus.py
imports: from typing import Any
  from typing import Optional
  from cftool.types import np_dict_type
  from cftool.types import tensor_dict_type
  from .core import HuggingFaceModel
  from ....types import texts_type
  from ....schema import TrainerState
  from ....constants import PREDICTIONS_KEY
label_desc: Use image node_id 3 for calling the OPUSBase obj's underlying member method code with example usage: obj.inference(texts, use_tqdm) and returns: super