code: def get_word_embedding_dimension(self) -> int:
      return self.embeddings_dimension
  
imports: import torch
  from torch import nn
  from typing import List
  import logging
  import gzip
  from tqdm import tqdm
  import numpy
  import os
  import json
  from ..util import import_from_string, fullname, http_get
  from .tokenizer import WordTokenizer, WhitespaceTokenizer
label_desc: Use image node_id 4 for calling the WordEmbeddings obj's underlying member method code with example usage: obj.get_word_embedding_dimension() and returns: self