code: def load_saved_model():
      ner_model = NERCRF()
      ner_model.load(args.model_path)
      return ner_model
  
file_path: nlp-architect/examples/ner/interactive.py
imports: from __future__ import division, print_function, unicode_literals, absolute_import
  import argparse
  import pickle
  import numpy
  from nlp_architect.models.ner_crf import NERCRF
  from nlp_architect.utils.generic import pad_sentences
  from nlp_architect.utils.io import validate_existing_filepath
  from nlp_architect.utils.text import SpacyInstance
label_desc: Use image node_id 2 for calling a global function with example usage: load_saved_model() and returns: ner_model