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---
license: cc-by-4.0
language:
- en
- ko
tags:
- translation
---
I only did ctranslate2 convert to the original.
cmd> ct2-transformers-converter --model NHNDQ/nllb-finetuned-en2ko --quantization float16 --output_dir NHNDQ-nllb-finetuned-en2ko-ct2
All copyrights belong to the original authors and the CT model may be deleted upon request. Below is the original model information.
Original URL : https://huggingface.co/NHNDQ/nllb-finetuned-en2ko
## Model Details
* Model Description: Fine-tuned facebook/nllb-200-distilled-600M ct2 model
* Developed by: DanielHeo
*
## Original Model Details
* Model Description: Fine-tuned facebook/nllb-200-distilled-600M model
* Developed by: Jisu Kim, Juhwan Lee, TakSung Heo, and Minsu Jeong
* Model Type: Translation
* Language(s):
* Source Language: English
* Target Language: Korean
* License: CC-BY-4.0
## Dataset
* [AI-hub dataset](https://www.aihub.or.kr/)
## BLEU Score
* Deepl translation: 22.83
* Fine-tune nllb: 33.66
## Uses
This model can be used for translation and text-to-text generation
## Data Augmentation with backtranslation task
You can exercise korean data augmentation task with python package [KoTAN](https://github.com/KoJLabs/KoTAN/tree/main)
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