code: def save_cache(self):
      cache_cp = {
          "[///]".join(k): v.tolist() for k, v in self.cache.items()
      }
      with open(self.get_cache_file(), "w") as f:
          json.dump(cache_cp, f)
  
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 9 for calling the SummaCImager obj's underlying member method code with example usage: obj.save_cache() without return types