code: def load_cached_state_dict(model_folder_path):
      # Take the first model matching the pattern *model.bin.
      model_path_list = glob.glob(
          os.path.join(model_folder_path, "*model.bin")
      )
      if not model_path_list:
          raise FileNotFoundError(
              f"model.bin not found in model folder {model_folder_path}."
          )
      model_path = model_path_list[0]
      state_dict = torch.load(
          model_path, map_location=torch.device("cpu")
      )
      return state_dict
  
imports: import glob
  import os
  import torch
label_desc: Use image node_id 1 for calling a global function with example usage: load_cached_state_dict(model_folder_path) and returns: state_dict