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@@ -9,6 +9,6 @@ library_name: transformers
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  license: mit
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- - This is the trained model of the seq2seq approach of our Sinhala Transliteration solution that was submitted to the [Shared Task of IndoNLPWorkshop 2025](https://indonlp-workshop.github.io/IndoNLP-Workshop/sharedTask/).
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  - The official codebase can be accessed from https://github.com/kasunw22/Sinhala-Transliterator
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  - Please be kind enough to cite our [paper](https://github.com/kasunw22/Sinhala-Transliterator) and don't hesitate to rate our original [repository](https://github.com/kasunw22/Sinhala-Transliterator)
 
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  license: mit
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+ - This is the trained model of the seq2seq approach of our Sinhala Transliteration solution that was submitted to the [Shared Task of IndoNLPWorkshop 2025 @COLING2025](https://indonlp-workshop.github.io/IndoNLP-Workshop/sharedTask/).
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  - The official codebase can be accessed from https://github.com/kasunw22/Sinhala-Transliterator
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  - Please be kind enough to cite our [paper](https://github.com/kasunw22/Sinhala-Transliterator) and don't hesitate to rate our original [repository](https://github.com/kasunw22/Sinhala-Transliterator)