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@@ -21,7 +21,7 @@ An extensive dataset with “artificial” errors was taken as a training corpus
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  - [SAGE library announcement](https://youtu.be/yFfkV0Qjuu0), DataFest 2023
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  - [Paper about synthetic error generation methods](https://www.dialog-21.ru/media/5914/martynovnplusetal056.pdf), Dialogue 2023
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  - [Paper about SAGE and our best solution](https://arxiv.org/abs/2308.09435), Review EACL 2024
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- - Path_to_model = "ai-forever/FRED-T5-large-spell"
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  ### Examples
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  *Examples are given with default generation parameters
 
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  - [SAGE library announcement](https://youtu.be/yFfkV0Qjuu0), DataFest 2023
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  - [Paper about synthetic error generation methods](https://www.dialog-21.ru/media/5914/martynovnplusetal056.pdf), Dialogue 2023
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  - [Paper about SAGE and our best solution](https://arxiv.org/abs/2308.09435), Review EACL 2024
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+ - Path to model = "ai-forever/FRED-T5-large-spell"
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  ### Examples
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  *Examples are given with default generation parameters