code: def get_config_dict(self):
      return {
          "tokenizer_class": fullname(self.tokenizer),
          "update_embeddings": self.update_embeddings,
          "max_seq_length": self.max_seq_length,
      }
  
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 6 for calling the WordEmbeddings obj's underlying member method code with example usage: obj.get_config_dict() and returns: dict