text: from transformers import (
      GPT2LMHeadModel,
      GPT2Tokenizer,
  )
  
  from fact_checking import FactChecker
  
  
  _evidence = """
  The clock time is 12,30.
  """
  
  _claim = 'The clock says it after 12'
  
  tokenizer = GPT2Tokenizer.from_pretrained('gpt2')
  fact_checking_model = GPT2LMHeadModel.from_pretrained('fractalego/fact-checking')
  fact_checker = FactChecker(fact_checking_model, tokenizer)
  is_claim_true = fact_checker.validate(_evidence, _claim)
  
  print(is_claim_true)
  