text: import pickle
  
  def load_network_info(**params):
  
  	embedding_type = params.get("embedding_type")
  
  	if not embedding_type in ['word2vec', 'fasttext']:
  		raise ValueError ("embedding_type MUST be 'word2vec' or 'fasttext'")
  
  	base_dir = f"./embedding/_{embedding_type}/"
  
  	with open(base_dir + 'index_dict.pkl', 'rb') as handle:
  		index_dict = pickle.load(handle)
  
  	with open(base_dir + 'vocab_size.pkl', 'rb') as handle:
  		vocab_size = pickle.load(handle)
  
  	with open(base_dir + 'embedding_weights.pkl', 'rb') as handle:
  		embedding_weights = pickle.load(handle)
  
  	return index_dict, vocab_size, embedding_weights