code: def split_paragraphs(self, text):
      if text.count("\n\n") > 0:
          paragraphs = [p.strip() for p in text.split("\n\n")]
      else:
          paragraphs = [p.strip() for p in text.split("\n")]
      return [p for p in paragraphs if len(p) > 10]
  
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 5 for calling the SummaCImager obj's underlying member method code with example usage: obj.split_paragraphs(text) and returns: unknown