readme: ## Pre-trained factual consistency checking model for abstractive summaries introduced in the following NAACL-22 paper.
  from transformers import AutoModelforSequenceClassification
  
  model = AutoModelforSequenceClassification("henry931007/mfma")
  
  
  
  ```
  @inproceedings{lee2022mfma,
        title={Masked Summarization to Generate Factually Inconsistent Summaries for Improved Factual Consistency Checking}, 
        author={Hwanhee Lee and Kang Min Yoo and Joonsuk Park and Hwaran Lee and Kyomin Jung},
        year={2022},
        month={july},
        booktitle={Findings of the Association for Computational Linguistics: NAACL 2022},
  }
  ```