code: def get_ptmodel_from_config(model):
      """Get a pre-trained model from the lightly model zoo."""
      key = model["name"]
      key += "/simclr"
      key += "/d" + str(model["num_ftrs"])
      key += "/w" + str(float(model["width"]))
  
      if key in model_zoo.keys():
          return model_zoo[key], key
      else:
          return "", key
  
imports: import os
  import hydra
  import torch
  from hydra import utils
  from torch import nn
  from lightly.cli._cli_simclr import _SimCLR
  from lightly.embedding import SelfSupervisedEmbedding
  from lightly.models import ZOO
  from lightly.models import ResNetGenerator
  from lightly.models.batchnorm import get_norm_layer
  from lightly.utils.version_compare import version_compare
label_desc: Use image node_id 5 for calling a global function with example usage: get_ptmodel_from_config(model) and returns: model_zoo,  key, str,  key