text: from config.BERT_QS.const import MODEL, CONFIG
  from utils.model_name_or_path import model_path_or_name
  from transformers import BertConfig
  from transformers import BertForSequenceClassification
  
  config = BertConfig.from_pretrained(model_path_or_name(CONFIG, force_default=True))
  config.num_labels = 1
  
  model = BertForSequenceClassification.from_pretrained(model_path_or_name(MODEL, force_default=True), config=config)
  config.save_pretrained(model_path_or_name(CONFIG))
  if __name__ == '__main__':
      pass
  