code: def split_2sents(self, text):
      sentences = nltk.tokenize.sent_tokenize(text)
      sentences = [sent for sent in sentences if len(sent) > 10]
      two_sents = [
          " ".join(sentences[i : (i + 2)])
          for i in range(len(sentences))
      ]
      return two_sents
  
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 4 for calling the SummaCImager obj's underlying member method code with example usage: obj.split_2sents(text) and returns: two_sents