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German 1.0.0 added

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  1. README.md +2 -1
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@@ -19,8 +19,9 @@ training data, measured results and known limits on each card.
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  | [gector-bert-it](https://huggingface.co/proofbird/gector-bert-it) | Italian | 1.0.0 | 512 fixed · 0 made worse | 0.10% |
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  | [gector-bert-es](https://huggingface.co/proofbird/gector-bert-es) | Spanish | 1.2.0 | 430 fixed · 0 made worse | 0.50% |
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  | [gector-bert-fr](https://huggingface.co/proofbird/gector-bert-fr) | French | 1.1.0 | 472 fixed · 0 made worse | 0.38% |
 
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- German follows. Every model card has a quick start: one Python file, or one click to run it in Google Colab.
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  **How they're made:** synthetic errors over Wikipedia and Tatoeba sentences — no learner essays, no non-commercial training
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  data, no user text. Precision first: a missed error is acceptable, a wrong correction is not.
 
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  | [gector-bert-it](https://huggingface.co/proofbird/gector-bert-it) | Italian | 1.0.0 | 512 fixed · 0 made worse | 0.10% |
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  | [gector-bert-es](https://huggingface.co/proofbird/gector-bert-es) | Spanish | 1.2.0 | 430 fixed · 0 made worse | 0.50% |
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  | [gector-bert-fr](https://huggingface.co/proofbird/gector-bert-fr) | French | 1.1.0 | 472 fixed · 0 made worse | 0.38% |
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+ | [gector-bert-de](https://huggingface.co/proofbird/gector-bert-de) | German | 1.0.0 | 168 fixed · 0 made worse | 0.53% |
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+ Every model card has a quick start: one Python file, or one click to run it in Google Colab.
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  **How they're made:** synthetic errors over Wikipedia and Tatoeba sentences — no learner essays, no non-commercial training
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  data, no user text. Precision first: a missed error is acceptable, a wrong correction is not.