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  ```
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  ## Limitations
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- - The model is intended to be fine-tuned on sets with natural errors for better performance. The realized model is a pre-train and pre-train task is different from the usual spell checking in terms of density of the noise in a corpus and its origin.
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  - Complex formatting may cause some trouble in output generation.
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  ## Resources
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  - [sage-mt5-large](https://huggingface.co/ai-forever/sage-mt5-large), HuggingFace
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  ## License
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- Model [FRED-T5-large](https://huggingface.co/ai-forever/FRED-T5-large), on the basis of which our solution is made, and its source code are supplied under the Apache-2.0 license.
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- Our solution comes with MIT license.
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  ## Specifications
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  - File size: 3.3 Gb;
 
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  ```
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  ## Limitations
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+ - The model is intended to be fine-tuned on sets with natural errors for better performance. The realized model is a pre-train and pre-train task is different from the usual spell checking in terms of density of the noise in a corpus and its origin;
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  - Complex formatting may cause some trouble in output generation.
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  ## Resources
 
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  - [sage-mt5-large](https://huggingface.co/ai-forever/sage-mt5-large), HuggingFace
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  ## License
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+ Model [FRED-T5-large](https://huggingface.co/ai-forever/FRED-T5-large), on the basis of which our solution is made, and its source code are supplied under the MIT license.
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+ Our solution comes with MIT license also.
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  ## Specifications
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  - File size: 3.3 Gb;