Windy TranslateSwedish to Yoruba translation model translate-sv-yo
Open machine translation from Swedish into Yoruba, published by Windstorm Labs on Hugging Face.
- Task
- Translation: Swedish → Yoruba
- Languages
- Swedish sv, Yoruba yo
- Lineage
- OPUS-MT
- Format
- transformers (Marian), safetensors
- Hugging Face
- WindyTranslate/translate-sv-yo
- Last updated on HF
- 2026-08-04
Quality
| Benchmark | chrF++ | BLEU | Band | Measured |
|---|---|---|---|---|
| FLORES-200 dev, 48 sentences | 15.32 | 0.88 | Limited | 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
- I måndags meddelade forskare från Stanford University School of Medicine att man tagit fram ett nytt diagnosti…
- Reference
- Àwọn onímọ̀ ìjìnlẹ̀ sáyẹ̀nsì láti ilé ìkẹ́ẹ̀kọ́ gíga ti ìsègun Stanford lọ́jọ́ ajé ti kéde ìdásílẹ̀ irinṣẹ́ ìw…
- This model
- Nínú ìwádìí ọjọ́ Monday tí wọ́n ṣe ní ilé ẹ̀kọ́ gíga University of Medicine, àwọn onímọ̀ ìjìnlẹ̀ sọ pé wọ́n ṣe
How to run
Shell
pip install transformers sentencepiece torchPython
from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
repo = "WindyTranslate/translate-sv-yo"
tok = AutoTokenizer.from_pretrained(repo)
model = AutoModelForSeq2SeqLM.from_pretrained(repo)
batch = tok(["<Swedish text>"], 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
- Apache-2.0
- Upstream
- Helsinki-NLP/opus-mt-sv-yo
- Upstream licence
- Apache-2.0
- Attribution
- Based on OPUS-MT model Helsinki-NLP/opus-mt-sv-yo by Helsinki-NLP (Language Technology Research Group, University of Helsinki). Licensed Apache-2.0.
Copy this into your NOTICE file (or equivalent) when you ship the model:
NOTICE
This product uses the model WindyTranslate/translate-sv-yo
(https://huggingface.co/WindyTranslate/translate-sv-yo), published by Windstorm Labs (https://windstormlabs.com).
Based on OPUS-MT model Helsinki-NLP/opus-mt-sv-yo by Helsinki-NLP (Language Technology Research Group, University of Helsinki). Licensed Apache-2.0.
Windstorm Labs modified the upstream weights; the model card describes what was changed.
Licensed under the Apache License, Version 2.0: https://www.apache.org/licenses/LICENSE-2.0This is a convenience, not legal advice. See Licensing.
Related models
| Model | chrF++ (FLORES-200 dev) | Licence |
|---|---|---|
| Yoruba to Swedish translate-yo-sv | 17.4 Limited | Apache-2.0 |
| Swedish to English translate-sv-en | 67.8 Excellent | Apache-2.0 |
| Swedish to French translate-sv-fr | 54.1 Good | Apache-2.0 |
| Swedish to Dutch translate-sv-nl | 53.5 Good | Apache-2.0 |
| Swedish to Indonesian translate-sv-id | 52.4 Good | Apache-2.0 |
| Swedish to Romanian translate-sv-ro | 51.2 Good | Apache-2.0 |
| Swedish to Finnish translate-sv-fi | 50.5 Good | Apache-2.0 |
| Swedish to Afrikaans translate-sv-af | 50.0 Good | Apache-2.0 |