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--- |
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language: en |
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tags: |
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- grammar |
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- text2text-generation |
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license: cc-by-nc-sa-4.0 |
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datasets: |
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- jfleg |
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--- |
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# T5 Grammar Correction |
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This model generates a revised version of inputted text with the goal of containing fewer grammatical errors. |
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It was trained with [Happy Transformer](https://github.com/EricFillion/happy-transformer) |
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using a dataset called [JFLEG](https://arxiv.org/abs/1702.04066). Here's a [full article](https://www.vennify.ai/fine-tune-grammar-correction/) on how to train a similar model. |
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## Usage |
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`pip install happytransformer ` |
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```python |
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from happytransformer import HappyTextToText, TTSettings |
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happy_tt = HappyTextToText("T5", "vennify/t5-base-grammar-correction") |
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args = TTSettings(num_beams=5, min_length=1) |
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# Add the prefix "grammar: " before each input |
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result = happy_tt.generate_text("grammar: This sentences has has bads grammar.", args=args) |
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print(result.text) # This sentence has bad grammar. |
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``` |
