class_docstr: A loader and saver for pretrained embeddings. 
code: def vocab(self):
      if not hasattr(self, "_vocab"):
          self.load()
      return self._vocab
  
imports: import csv
  import os
  import re
  import lzma
  import logging
  import numpy
  import torch
  from .vocab import BaseVocab, VOCAB_PREFIX, UNK_ID
  from stanza.models.common.utils import open_read_binary, open_read_text
  from stanza.resources.common import DEFAULT_MODEL_DIR
label_desc: Use image node_id 2 for calling the Pretrain obj's underlying member method code with example usage: obj.vocab() and returns: self