docstr: Predicts the label of the text.
docstr_tok: ["Predicts","the","label","of","the","text","."]
code: def predict(
      self,
      text: Union[List[str], str],
      as_argilla_records: bool = True,
      **kwargs,
  ) -> None:
      """
      Predicts the label of the text.
      """
      raise NotImplementedError(
          "Models trained with TRL cannot be used for label predictions."
      )
  
file_path: argilla/src/argilla/client/feedback/training/frameworks/trl.py
imports: import logging
  from typing import TYPE_CHECKING, Dict, List, Optional, Union
  from argilla.client.feedback.training.base import ArgillaTrainerSkeleton
  from argilla.client.feedback.training.schemas.base import TrainingTaskForDPO, TrainingTaskForPPO, TrainingTaskForRM, TrainingTaskForSFT
  from argilla.training.utils import filter_allowed_args
  from argilla.utils.dependency import require_dependencies, requires_dependencies
label_desc: Use image node_id 5 for calling the ArgillaTRLTrainer obj's underlying member method code with example usage: obj.predict(text, as_argilla_records) without return types