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},
}