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  - The fine-tuning dataset consists of the KMA Medical Terminology Collection and the KCD-8 masterfile's Korean-English description dataset.
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- - It is specialized for translating Korean medical terms into English. For usage instructions, please refer to the documentation on Transformer models and NLLB-related materials.
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  ```python
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  from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
 
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  - The fine-tuning dataset consists of the KMA Medical Terminology Collection and the KCD-8 masterfile's Korean-English description dataset.
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+ - It is specialized for translating Korean medical terms into English. ( ! Especially fitted for translating cause-of-death Korean text into English terms ! )
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+ - After pushing the model, we have continuously identified mistranslations and are updating the # Woondsc/nllb-1.3B-KMA-KCD-FFTtest # model to address these issues. This model is an improved fine-tuned version specifically designed to correct additional mistranslations in the original model.
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+ - If you are looking to build a general Korean-to-English translation model for other purposes, feel free to use this model. However, if you need better performance for Korean-to-English medical translations, we recommend using # Woondsc/nllb-1.3B-KMA-KCD-FFTtest # instead.
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+ # Here is the example of using this model for translating Korean COD into English term . . .
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  ```python
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  from transformers import AutoTokenizer, AutoModelForSeq2SeqLM