code: def load_model(path: Union[str, os.PathLike]) -> nn.Module:
      """
      Loads a model and its optimizer.
  
      Parameters
      ----------
      path
          Path to the loading location.
  
      Returns
      -------
      Loaded model.
      """
      model = torch.load(path)
      model.eval()
      return model
  
imports: import os
  import random
  from typing import List, Dict, Callable, Union, Optional, TYPE_CHECKING
  import numpy
  import torch
  import torch.nn
  import torch.nn.functional
  from torch.utils.data import DataLoader, Dataset
  from alibi.explainers.backends.cfrl_base import CounterfactualRLDataset
  from alibi.models.pytorch.actor_critic import Actor, Critic
label_desc: Use image node_id 16 for calling a global function with example usage: load_model(path) and returns: model