code: def __init__(self, dump_file):
      logger.info("Loading Elmo Offline Embedding module")
  
      if dump_file is not None:
          with open(dump_file, "rb") as out:
              self.embeder = pickle.load(out)
      else:
          logger.warning("Elmo Offline without loaded embeder!")
  
      logger.info("Elmo Offline 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 ElmoEmbeddingOffline object from inherited base classes: object with example: obj = ElmoEmbeddingOffline(dump_file)