class_docstr: A vocabulary object used to tokenize input text.
  
  Parameters
  ----------
  vocabulary : str
      Strings column of vocabulary terms
class_docstr_tok: ["A","vocabulary","object","used","to","tokenize","input","text",".","Parameters","--","--","--","--","--","vocabulary",":","str","Strings","column","of","vocabulary","terms"]
code: def __init__(self, vocabulary: "cudf.Series"):
      self.vocabulary = cpp_tokenize_vocabulary(vocabulary._column)
  
imports: from __future__ import annotations
  import cudf
  from cudf._lib.nvtext.tokenize import TokenizeVocabulary, tokenize_with_vocabulary
label_desc: Use image node_id 1 to create a new TokenizeVocabulary object  with example: obj = TokenizeVocabulary(vocabulary)