class_docstr: Intent Extraction model base class (using tf.keras)
class_docstr_tok: ["Intent","Extraction","model","base","class","(","using","tf.keras",")"]
docstr: Load a trained model
  
  Args:
      path (str): path to model file
docstr_tok: ["Load","a","trained","model","Args",":","path","(","str",")",":","path","to","model","file"]
code: def load(self, path):
      """
      Load a trained model
  
      Args:
          path (str): path to model file
      """
      load_model(path, self)
  
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 5 for calling the IntentExtractionModel obj's underlying member method code with example usage: obj.load(path) without return types