code: def __init__(self, top_k=100, skip_check=False):
      super().__init__(top_k, skip_check)
  
      try:
          from gensim.models import KeyedVectors
      except ModuleNotFoundError:
          raise ModuleNotFoundError(
              "Missed gensim library. Install transfomers by `pip install gensim`"
          )
  
      self.model = None
      self.words = []
  
imports: from nlpaug.model.word_embs import WordEmbeddings
label_desc: Use image node_id 1 to create a new GloVe object from inherited base classes: WordEmbeddings with example: obj = GloVe(top_k, skip_check)