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  Original paper: [Evaluating the Factual Consistency of Abstractive Text Summarization](https://arxiv.org/abs/1910.12840)
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  This model is trained to predict whether a summary is factual with respect to the original text. Basic usage:
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  ```
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  from transformers import BertForSequenceClassification, BertTokenizer
 
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  Original paper: [Evaluating the Factual Consistency of Abstractive Text Summarization](https://arxiv.org/abs/1910.12840)
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+ This is a more modern implementation of the model and code from [the original github repo](https://github.com/salesforce/factCC)
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  This model is trained to predict whether a summary is factual with respect to the original text. Basic usage:
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  ```
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  from transformers import BertForSequenceClassification, BertTokenizer