class_docstr: StanfordNLI classification problems, character level
class_docstr_tok: ["StanfordNLI","classification","problems",",","character","level"]
code: def vocab_type(self):
      return text_problems.VocabType.CHARACTER
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import os
  import zipfile
  from tensor2tensor.data_generators import generator_utils
  from tensor2tensor.data_generators import lm1b
  from tensor2tensor.data_generators import problem
  from tensor2tensor.data_generators import text_encoder
  from tensor2tensor.data_generators import text_problems
  from tensor2tensor.data_generators import wiki_lm
  from tensor2tensor.utils import registry
  import tensorflow.compat.v1
label_desc: Use image node_id 1 for calling the StanfordNLICharacters obj's underlying member method code with example usage: obj.vocab_type() and returns: text_problems