code: def __init__(
      self, lower=True, num_norm=True, use_char=True, initial_vocab=None
  ):
      super(ELMoTransformer, self).__init__(
          lower, num_norm, use_char, initial_vocab
      )
      self._elmo = Elmo(options_file, weight_file, 2, dropout=0)
  
imports: import re
  import numpy
  from allennlp.modules.elmo import Elmo, batch_to_ids
  from sklearn.base import BaseEstimator, TransformerMixin
  from sklearn.externals import joblib
  from keras.utils.np_utils import to_categorical
  from keras.preprocessing.sequence import pad_sequences
  from anago.utils import Vocabulary
label_desc: Use image node_id 1 to create a new ELMoTransformer object from inherited base classes: IndexTransformer with example: obj = ELMoTransformer(lower, num_norm, use_char, initial_vocab)