code: def get_elmo_avg(self, sentence):
      sentence_embedding = self.embeder.get_vector(sentence)
      return np.mean(sentence_embedding, axis=0)
  
file_path: nlp-architect/nlp_architect/data/cdc_resources/embedding/embed_elmo.py
imports: import logging
  import pickle
  from typing import List
  import numpy
  from nlp_architect.common.cdc.mention_data import MentionDataLight
  from nlp_architect.utils.embedding import ELMoEmbedderTFHUB
label_desc: Use image node_id 5 for calling the ElmoEmbedding obj's underlying member method code with example usage: obj.get_elmo_avg(sentence) and returns: np