class_docstr: Processor for the MultiNLI data set (GLUE version).
class_docstr_tok: ["Processor","for","the","MultiNLI","data","set","(","GLUE","version",")","."]
docstr: See base class.
docstr_tok: ["See","base","class","."]
code: def get_labels(self):
      """See base class."""
      return ["contradiction", "entailment", "neutral"]
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import collections
  import csv
  import os
  import mesh_tensorflow
  import mesh_tensorflow.bert.bert
  import mesh_tensorflow.bert.optimization
  import mesh_tensorflow.bert.tokenization
  from six.moves import range
  import tensorflow.compat.v1
  from tensorflow.compat.v1 import estimator
label_desc: Use image node_id 4 for calling the MnliProcessor obj's underlying member method code with example usage: obj.get_labels() and returns: list