code: def __init__(self, ner, encoder, embeddings_file=None):
      self.ner = ner
      self.encoder = encoder
      self.embeddings_file = embeddings_file
  
file_path: spark-nlp/python/tensorflow/lib/ner/ner_model_saver.py
imports: import numpy
  import os
  import tensorflow
  import string
  import random
  import math
  import sys
label_desc: Use image node_id 1 to create a new NerModelSaver object  with example: obj = NerModelSaver(ner, encoder, embeddings_file)