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 tokenize(self, text: str) -> List[str]:
      from spacy.tokens.doc import Doc
  
      doc: Doc = self.model.make_doc(text)
      words: List[str] = []
      for word in doc:
          if len(word.text.strip()) == 0:
              continue
          words.append(word.text)
      return words
  
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 2 for calling the SpacyTokenizer obj's underlying member method code with example usage: obj.tokenize(text) and returns: words