docstr: Initializes the preprocessor.
  
  Args:
      nlp: Spacy natural language processing pipeline.
docstr_tok: ["Initializes","the","preprocessor",".","Args",":","nlp",":","Spacy","natural","language","processing","pipeline","."]
code: def __init__(self, nlp: Language):
      """
      Initializes the preprocessor.
  
      Args:
          nlp: Spacy natural language processing pipeline.
      """
      self.nlp = nlp
      pipe = self.nlp.create_pipe("sentencizer")
      self.nlp.add_pipe(pipe)
      self.start_token = "[CLS]"
      self.end_token = "[SEP]"
  
imports: from typing import Tuple
  from spacy.pipeline.pipes import Language
label_desc: Use image node_id 1 to create a new BertPreprocessor object  with example: obj = BertPreprocessor(nlp)