class_docstr: Bi-LSTM NER model with CRF classification layer (tf.keras model)
  
  Args:
      use_cudnn (bool, optional): use cudnn LSTM cells
docstr: Load model weights
  
  Args:
      path (str): path to load model from
docstr_tok: ["Load","model","weights","Args",":","path","(","str",")",":","path","to","load","model","from"]
code: def load(self, path):
      """
      Load model weights
  
      Args:
          path (str): path to load model from
      """
      load_model(path, self)
  
file_path: nlp-architect/nlp_architect/models/ner_crf.py
imports: from __future__ import absolute_import, division, print_function, unicode_literals
  import tensorflow
  from nlp_architect.nn.tensorflow.python.keras.layers.crf import CRF
  from nlp_architect.nn.tensorflow.python.keras.utils import load_model, save_model
label_desc: Use image node_id 8 for calling the NERCRF obj's underlying member method code with example usage: obj.load(path) without return types