class_docstr: NER model API
class_docstr_tok: ["NER","model","API"]
code: def load_model(self):
      self.model = NERCRF()
      self.model.load(self.pretrained_model)
      with open(self.pretrained_model_info, "rb") as fp:
          model_info = pickle.load(fp)
      self.word_vocab = model_info["word_vocab"]
      self.y_vocab = {v: k for k, v in model_info["y_vocab"].items()}
      self.char_vocab = model_info["char_vocab"]
  
file_path: nlp-architect/nlp_architect/api/ner_api.py
imports: import pickle
  from os import makedirs, path, sys
  import numpy
  from nlp_architect.api.abstract_api import AbstractApi
  from nlp_architect.models.ner_crf import NERCRF
  from nlp_architect import LIBRARY_OUT
  from nlp_architect.utils.generic import pad_sentences
  from nlp_architect.utils.io import download_unlicensed_file
  from nlp_architect.utils.text import SpacyInstance, bio_to_spans
label_desc: Use image node_id 4 for calling the NerApi obj's underlying member method code with example usage: obj.load_model() without return types