code: def read(self, file_path, max_num_vector=None):
      self.model = KeyedVectors.load_word2vec_format(
          file_path, binary=True, limit=max_num_vector
      )
      super()._read()
  
imports: from nlpaug.model.word_embs import WordEmbeddings
label_desc: Use image node_id 2 for calling the Word2vec obj's underlying member method code with example usage: obj.read(file_path, max_num_vector) without return types