English to Korean translation model translate-tc-big-en-ko
Open machine translation from English into Korean, published by Windstorm Labs on Hugging Face.
- Task
- Translation: English → Korean
- Languages
- English en, Korean ko
- Lineage
- OPUS-MT tc-big
- Format
- transformers (Marian), safetensors
- Hugging Face
- WindyTranslate/translate-tc-big-en-ko
- Last updated on HF
- 2026-08-04
Quality
| Benchmark | chrF++ | BLEU | Band | Measured |
|---|---|---|---|---|
| FLORES-200 dev, 48 sentences | 2.76 | 0.12 | Not recommended | 2026-08-04 |
A screening score on 48 sentences, not a publication result. Bands: Excellent ≥ 60, Good 45–60, Usable 30–45, Limited 15–30, Not recommended < 15. Method and caveats.
Recorded output (sentence 1, first 110 characters)
- Source
- On Monday, scientists from the Stanford University School of Medicine announced the invention of a new diagnos…
- Reference
- 스탠포드 의과대학 연구진은 지난 월요일 세포를 유형별로 분류할 수 있는 새로운 진단도구를 개발했다고 밝혔다. 이는 아주 작은 크기의 인쇄가 가능한 칩으로, 일반적인 잉크젯 프린터를 이용해 개 당 미…
- This model
- 잠금、,、창조자 잘。 EmailFC는 전복。 잘。 중국의 명소。 값을 않습니다 그리스、중국과 skillsant。 야곱、 값 그리스 대학、 별관 무례。 #、 Inflatableog 목소리. 예수.。
How to run
Shell
pip install transformers sentencepiece torchPython
from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
repo = "WindyTranslate/translate-tc-big-en-ko"
tok = AutoTokenizer.from_pretrained(repo)
model = AutoModelForSeq2SeqLM.from_pretrained(repo)
batch = tok(["Where is the train station?"], return_tensors="pt", padding=True)
print(tok.batch_decode(model.generate(**batch), skip_special_tokens=True)[0])Tested: Pattern run on 2026-10-01 against WindyTranslate/translate-tc-big-en-fr with transformers 4.57.6 and 5.18.0 on CPU ("Où se trouve la gare ?"); multi-target token prefix run against translate-tc-bible-big-mul-deu_eng_nld. Not run on every model individually.
Licence and attribution
- Licence
- CC-BY-4.0
- Upstream
- Helsinki-NLP/opus-mt-tc-big-en-ko
- Upstream licence
- CC-BY-4.0
- Attribution
- Based on OPUS-MT model Helsinki-NLP/opus-mt-tc-big-en-ko by Helsinki-NLP (Language Technology Research Group, University of Helsinki). Licensed CC-BY-4.0.
Copy this into your NOTICE file (or equivalent) when you ship the model:
NOTICE
This product uses the model WindyTranslate/translate-tc-big-en-ko
(https://huggingface.co/WindyTranslate/translate-tc-big-en-ko), published by Windstorm Labs (https://windstormlabs.com).
Based on OPUS-MT model Helsinki-NLP/opus-mt-tc-big-en-ko by Helsinki-NLP (Language Technology Research Group, University of Helsinki). Licensed CC-BY-4.0.
Windstorm Labs modified the upstream weights; the model card describes what was changed.
Licensed under Creative Commons Attribution 4.0 International: https://creativecommons.org/licenses/by/4.0/This is a convenience, not legal advice. See Licensing.
Related models
| Model | chrF++ (FLORES-200 dev) | Licence |
|---|---|---|
| Korean to English translate-ko-en | 45.4 Good | Apache-2.0 |
| Korean to English translate-tc-big-ko-en | 3.0 Not recommended | CC-BY-4.0 |
| Korean to English translate-windy-hplt-ko-en | not yet scored | CC-BY-4.0 |
| English to French translate-tc-big-en-fr | 69.6 Excellent | CC-BY-4.0 |
| English to Portuguese translate-tc-big-en-pt | 66.6 Excellent | CC-BY-4.0 |
| English to Bulgarian translate-tc-big-en-bg | 66.6 Excellent | CC-BY-4.0 |
| English to French translate-en-fr | 66.2 Excellent | Apache-2.0 |
| English to Danish translate-en-da | 65.6 Excellent | Apache-2.0 |