class_docstr: NLP Model 
  Glove is a wrapper for loading pretrained word 
  embedding vectors hosted at http://nlp.stanford.edu/data/glove.6B.zip.
  
  References:
      .. [#] `Pennington, Jeffrey, Richard Socher, and Christopher Manning,
          “Glove: Global Vectors for Word Representation”,
          In Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP)`_
docstr: Returns a dictionary mapping word to embdding vector index 
docstr_tok: ["Returns","a","dictionary","mapping","word","to","embdding","vector","index"]
code: def vocab(self):
      """
      Returns a dictionary mapping word to embdding vector index
      """
  
      return self._vocab
  
imports: import os
  import numpy
label_desc: Use image node_id 2 for calling the Glove obj's underlying member method code with example usage: obj.vocab() and returns: self