code: def get_avrg_feature_vector(self, tokens_str):
      embed = None
      if tokens_str in self.embeder:
          embed = self.embeder[tokens_str]
  
      return embed
  
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 3 for calling the ElmoEmbeddingOffline obj's underlying member method code with example usage: obj.get_avrg_feature_vector(tokens_str) and returns: embed