code: def test_bert_large_slow() -> None:
      pretrained_model_score_slow("bert-large-nli-mean-tokens", 79.19)
      pretrained_model_score_slow("bert-large-nli-max-tokens", 78.41)
      pretrained_model_score_slow("bert-large-nli-cls-token", 78.29)
      pretrained_model_score_slow(
          "bert-large-nli-stsb-mean-tokens", 85.29
      )
  
imports: import csv
  import gzip
  import os
  from functools import partial
  import pytest
  from sentence_transformers import InputExample, SentenceTransformer, util
  from sentence_transformers.evaluation import EmbeddingSimilarityEvaluator
label_desc: Use image node_id 3 for calling a global function with example usage: test_bert_large_slow() without return types