Instructions to use WindstormLabs/translate-de-eo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-de-eo 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-de-eo")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-de-eo", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download README.md from WindstormLabs/translate-de-eo: direct link, hf CLI and curl.
- Browser
- Download file 2.15 kB
-
https://huggingface.co/WindstormLabs/translate-de-eo/resolve/main/README.md
- Command line
-
hf download hf://WindstormLabs/translate-de-eo/README.md
-
curl -L -o README.md https://huggingface.co/WindstormLabs/translate-de-eo/resolve/main/README.md
license: apache-2.0
tags:
- translation
- marian
- windyword
- german
- esperanto
language:
- de
- eo
library_name: transformers
pipeline_tag: translation
base_model: Helsinki-NLP/opus-mt-de-eo
WindyWord.ai Translation — German → Esperanto
Part of the Windstorm Labs open model catalogue. Scores, licence and attribution for every model: https://windytranslate.com/models/translate-de-eo
Canonical copy: https://huggingface.co/WindyTranslate/translate-de-eo
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 → Esperanto.
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-de-eo", subfolder="lora")
model = MarianMTModel.from_pretrained("WindstormLabs/translate-de-eo", subfolder="lora")
CTranslate2 (fast CPU inference):
import ctranslate2
translator = ctranslate2.Translator("path/to/translate-de-eo/lora-ct2-int8")
Apps
The Windy Word apps are built on this model family.
Provenance & License
Weights derived from Helsinki-NLP/opus-mt-de-eo (OPUS-MT, Helsinki-NLP, University of Helsinki), licensed Apache-2.0. Windy variants are released under the same licence.