skywood/NHNDQ-nllb-finetuned-en2ko-ct2-float16

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

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