code: def __init__(self):
      logger.info("Loading Elmo Embedding module")
      self.embeder = ELMoEmbedderTFHUB()
      self.cache = dict()
      logger.info("Elmo Embedding module lead successfully")
  
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 1 to create a new ElmoEmbedding object from inherited base classes: object with example: obj = ElmoEmbedding()