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README.md
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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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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
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