code: def to_dict(self) -> Dict[str, Any]:
      info_dic = super(WordEmbedding, self).to_dict()
      info_dic["config"]["w2v_path"] = self.w2v_path
      info_dic["config"]["w2v_kwargs"] = self.w2v_kwargs
      return info_dic
  
file_path: Kashgari/kashgari/embeddings/word_embedding.py
imports: from typing import Dict, Any, Optional
  import numpy
  from gensim.models import KeyedVectors
  from tensorflow import keras
  from kashgari.embeddings.abc_embedding import ABCEmbedding
  from kashgari.logger import logger
label_desc: Use image node_id 1 for calling the WordEmbedding obj's underlying member method code with example usage: obj.to_dict() and returns: info_dic