code: def __init__(self, embed_resources):
      logger.info("Loading Glove Offline Embedding module")
      with open(embed_resources, "rb") as out:
          self.word_to_ix, self.word_embeddings = pickle.load(
              out, encoding="latin1"
          )
      logger.info("Glove Offline Embedding module lead successfully")
  
file_path: nlp-architect/nlp_architect/data/cdc_resources/embedding/embed_glove.py
imports: import logging
  import pickle
  import numpy
  from nlp_architect.common.cdc.mention_data import MentionDataLight
label_desc: Use image node_id 1 to create a new GloveEmbeddingOffline object from inherited base classes: object with example: obj = GloveEmbeddingOffline(embed_resources)