code: def split_text(self, text, granularity="sentence"):
      if granularity == "document":
          return [text]
      elif granularity == "paragraph":
          return self.split_paragraphs(text)
      elif granularity == "sentence":
          return self.split_sentences(text)
      elif granularity == "2sents":
          return self.split_2sents(text)
      elif granularity == "mixed":
          return self.split_sentences(text) + self.split_paragraphs(
              text
          )
  
imports: from transformers import AutoTokenizer, AutoModelForSequenceClassification
  import nltk
  import numpy
  import torch
  import os
  import json
  from .None import utils_misc
label_desc: Use image node_id 6 for calling the SummaCImager obj's underlying member method code with example usage: obj.split_text(text, granularity) and returns: list, self, self, self, unknown