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Chinese to Hebrew translation model translate-zh-he

Open machine translation from Chinese into Hebrew, published by Windstorm Labs on Hugging Face.

Task
Translation: Chinese → Hebrew
Languages
Chinese zh, Hebrew he
Lineage
OPUS-MT
Format
transformers (Marian), safetensors
Hugging Face
WindyTranslate/translate-zh-he
Last updated on HF
2026-08-04

Quality

BenchmarkchrF++BLEUBandMeasured
FLORES-200 dev, 48 sentences30.228.10Usable2026-08-04

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
周一,斯坦福大学医学院的科学家宣布,他们发明了一种可以将细胞按类型分类的新型诊断工具:一种可打印的微型芯片。这种芯片可以使用标准喷墨打印机制造,每片价格可能在一美分左右。…
Reference
ביום שני, מדענים מבית הספר לרפואה באוניברסיטת סטנפורד הכריזו על המצאת אמצעי אבחון חדש אשר מסוגל למיין תאים לפי…
This model
ביום שני, מדענים באוניברסיטת סטנפורד הכריזו שהם המציאו כלים שיכולים להתאים לתאים, שבב זעיר שניתן להדפיס, שבב ש

How to run

Shell
pip install transformers sentencepiece torch
Python
from transformers import AutoTokenizer, AutoModelForSeq2SeqLM

repo = "WindyTranslate/translate-zh-he"
tok = AutoTokenizer.from_pretrained(repo)
model = AutoModelForSeq2SeqLM.from_pretrained(repo)

batch = tok(["<Chinese 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-zh-he
Upstream licence
Apache-2.0
Attribution
Based on OPUS-MT model Helsinki-NLP/opus-mt-zh-he 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-zh-he
(https://huggingface.co/WindyTranslate/translate-zh-he), published by Windstorm Labs (https://windstormlabs.com).
Based on OPUS-MT model Helsinki-NLP/opus-mt-zh-he 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-2.0

This is a convenience, not legal advice. See Licensing.

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