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WindyWord/translate-de-ln
translate-de-ln is a translation model from WindyWord. Use it when you need text moved from one language to another. It is set up for transformers. The card lists the license as apache-2.0.
Part of the Windstorm Labs open model catalogue. Scores, licence and attribution for every model: https://windytranslate.com/models/translate-de-ln Canonical copy: https://huggingface.co/WindyTranslate/translate-de-ln
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Updated Oct 4, 2026
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From the Hugging Face model README
Part of the Windstorm Labs open model catalogue. Scores, licence and attribution for every model: https://windytranslate.com/models/translate-de-ln
Canonical copy: https://huggingface.co/WindyTranslate/translate-de-ln
Note (2026-10-04): the WindyScripture variants (
herm0-scripture/,scripture-ct2-int8/) were removed from this repository's current files while the licences of their eBible source texts are reviewed. This is a precaution, not a legal conclusion. The other variants are unchanged.
Translates German → Lingala.
No quality score is published in this repository. Current screening scores, where measured, are on the catalogue page linked above.
Deployment formats in this repository (subfolders):
| Variant | Description |
|---|---|
lora/ | WindyStandard — production baseline. Transformers format for GPU inference. |
lora-ct2-int8/ | WindyStandard · CPU INT8 — CTranslate2 INT8 quantization of WindyStandard for CPU inference. |
Transformers (PyTorch):
from transformers import MarianMTModel, MarianTokenizer
tokenizer = MarianTokenizer.from_pretrained("WindyWord/translate-de-ln", subfolder="lora")
model = MarianMTModel.from_pretrained("WindyWord/translate-de-ln", subfolder="lora")
CTranslate2 (fast CPU inference):
import ctranslate2
translator = ctranslate2.Translator("path/to/translate-de-ln/lora-ct2-int8")
The Windy Word apps are built on this model family.
Weights derived from Helsinki-NLP/opus-mt-de-ln (OPUS-MT, Helsinki-NLP, University of Helsinki), licensed Apache-2.0. Windy variants are released under the same licence.