class_docstr: Tokenizer using spacy under the hood.
  
  Args:
      model: a Spacy V2 model or the name of the model to load.
class_docstr_tok: ["Tokenizer","using","spacy","under","the","hood",".","Args",":","model",":","a","Spacy","V2","model","or","the","name","of","the","model","to","load","."]
code: def name(self) -> str:
      return (
          self.__class__.__name__
          + "_"
          + self.model.meta["name"]
          + "_"
          + self.model.meta["version"]
      )
  
imports: import logging
  import sys
  from abc import ABC, abstractmethod
  from typing import Callable, List
  from segtok.segmenter import split_single
  from segtok.tokenizer import split_contractions, word_tokenizer
label_desc: Use image node_id 3 for calling the SpacyTokenizer obj's underlying member method code with example usage: obj.name() and returns: unknown