code: def load_model(classifier, models_dir):
      """Load the Model object for a particular classifier"""
      path = make_save_path(models_dir, classifier, "model")
      with open(path, "rb") as f:
          return pickle.load(f)
  
imports: from __future__ import absolute_import, unicode_literals
  import base64
  import hashlib
  import json
  import logging
  import os
  import pickle
  from builtins import str
  import numpy
  from atm.compat import getargs
label_desc: Use image node_id 14 for calling a global function with example usage: load_model(classifier, models_dir) and returns: pickle