code: def load_nli(self):
      if self.model_name == "decomp":
          from allennlp.predictors.predictor import Predictor
  
          self.model = Predictor.from_path(
              "https://storage.googleapis.com/allennlp-public-models/decomposable-attention-elmo-2020.04.09.tar.gz",
              cuda_device=0,
          )
  
      else:
          self.tokenizer = AutoTokenizer.from_pretrained(
              self.model_card
          )
          self.model = (
              AutoModelForSequenceClassification.from_pretrained(
                  self.model_card
              ).eval()
          )
          self.model.to(self.device).half()
  
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 2 for calling the SummaCImager obj's underlying member method code with example usage: obj.load_nli() without return types