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
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