code: def get_default_optimize_config(cls):
      return {
          "external_memory": 1024,  # GPT2 needs either zero or non-zero. XLNet needs number of extra memory tokens.
          "return_proba": False,
      }
  
imports: import numpy
  import string
  import nlpaug.util.selection.filtering
label_desc: Use image node_id 2 for calling the LanguageModels obj's underlying member method code with example usage: obj.get_default_optimize_config(cls) and returns: dict