code: def _load_CounterfactualRLTabular(
      path: Union[str, os.PathLike], predictor: Callable, meta: dict
  ) -> "CounterfactualRLTabular":
      # load explainer
      with open(Path(path, "explainer.dill"), "rb") as f:
          explainer = dill.load(f)
  
      # load backend
      from alibi.utils.frameworks import Framework
      from alibi.explainers import CounterfactualRL
  
      CounterfactualRL._verify_backend(explainer.params["backend"])
  
      # select backend module
      if explainer.params["backend"] == Framework.TENSORFLOW:
          import alibi.explainers.backends.tensorflow.cfrl_tabular as backend
      else:
          import alibi.explainers.backends.pytorch.cfrl_tabular as backend  # type: ignore
  
      # set explainer backend
      explainer.backend = backend
  
      # load the rest of the explainer
      return _helper_load_CounterfactualRL(path, predictor, explainer)
  
imports: import copy
  import json
  import numbers
  import os
  from pathlib import Path
  import sys
  from typing import Callable, TYPE_CHECKING, Union
  import warnings
  import dill
  import numpy
  from alibi.version import __version__
label_desc: Use image node_id 18 for calling a global function with example usage: _load_CounterfactualRLTabular(path, predictor, meta) and returns: _helper_load_CounterfactualRL