Instructions to use WindstormLabs/translate-ru-da with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-ru-da with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "translation" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # pip install "transformers<5.0.0" from transformers import pipeline pipe = pipeline("translation", model="WindstormLabs/translate-ru-da")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-ru-da", device_map="auto") - Notebooks
- Google Colab
- Kaggle
WindyWord.ai Translation — Russian → Danish
Part of the Windstorm Labs open model catalogue. Scores, licence and attribution for every model: https://windytranslate.com/models/translate-ru-da
Canonical copy: https://huggingface.co/WindyTranslate/translate-ru-da
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 Russian → Danish.
Quality
No quality score is published in this repository. Current screening scores, where measured, are on the catalogue page linked above.
Available Variants
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. |
Quick usage
Transformers (PyTorch):
from transformers import MarianMTModel, MarianTokenizer
tokenizer = MarianTokenizer.from_pretrained("WindstormLabs/translate-ru-da", subfolder="lora")
model = MarianMTModel.from_pretrained("WindstormLabs/translate-ru-da", subfolder="lora")
CTranslate2 (fast CPU inference):
import ctranslate2
translator = ctranslate2.Translator("path/to/translate-ru-da/lora-ct2-int8")
Apps
The Windy Word apps are built on this model family.
Provenance & License
Weights derived from Helsinki-NLP/opus-mt-ru-da (OPUS-MT, Helsinki-NLP, University of Helsinki), licensed Apache-2.0. Windy variants are released under the same licence.
Model tree for WindstormLabs/translate-ru-da
Base model
Helsinki-NLP/opus-mt-ru-da