class_docstr: A word-level tokenizer with GloVe 200-dimensional vectors.
  
  Lowercased, since GloVe vectors are lowercased.
class_docstr_tok: ["A","word-level","tokenizer","with","GloVe","200-dimensional","vectors",".","Lowercased",",","since","GloVe","vectors","are","lowercased","."]
code: def convert_ids_to_tokens(self, ids):
      return [self.convert_id_to_word(_id) for _id in ids]
  
file_path: textflint/textflint/input/model/tokenizers/glove_tokenizer.py
imports: import json
  import tempfile
  import tokenizers
label_desc: Use image node_id 5 for calling the GloveTokenizer obj's underlying member method code with example usage: obj.convert_ids_to_tokens(ids) and returns: unknown