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metadata
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

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