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WindyWord/translate-de-ee
translate-de-ee 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 other.
Part of the Windstorm Labs open model catalogue. Scores, licence and attribution for every model: https://windytranslate.com/models/translate-de-ee Canonical copy: https://huggingface.co/WindyTranslate/translate-de-ee
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Updated Oct 1, 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-ee
Canonical copy: https://huggingface.co/WindyTranslate/translate-de-ee
Licence under review: trained on the eBible corpus, which includes translations under non-commercial / no-derivatives terms. Not for commercial use until this notice is removed.
This applies to the WindyScripture variants in this repository (
herm0-scripture/,scripture-ct2-int8/). The other variants are derived from the upstream model under its licence, shown in the Provenance & License section below.
Translates German → Ewe.
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. |
herm0-scripture/ | WindyScripture — verse-aligned fine-tune on the eBible parallel corpus. Specialised for biblical text; not recommended for general translation. Licence under review — see notice above. |
scripture-ct2-int8/ | WindyScripture · CPU INT8 — CTranslate2 INT8 quantization of WindyScripture. Licence under review — see notice above. |
Transformers (PyTorch):
from transformers import MarianMTModel, MarianTokenizer
tokenizer = MarianTokenizer.from_pretrained("WindyWord/translate-de-ee", subfolder="lora")
model = MarianMTModel.from_pretrained("WindyWord/translate-de-ee", subfolder="lora")
CTranslate2 (fast CPU inference):
import ctranslate2
translator = ctranslate2.Translator("path/to/translate-de-ee/lora-ct2-int8")
The Windy Word apps are built on this model family.
Weights derived from Helsinki-NLP/opus-mt-de-ee (OPUS-MT, Helsinki-NLP, University of Helsinki), licensed Apache-2.0. Windy variants are released under the same licence.
Exception: the WindyScripture variants (herm0-scripture/, scripture-ct2-int8/) are under licence review — see the notice at the top of this card. Not for commercial use until that notice is removed.