# pip install -U transformers accelerate
# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("WindyWord/translate-ru-eo", device_map="auto")Quick Links
WindyWord.ai Translation — Russian → Esperanto
Part of the Windstorm Labs open model catalogue. Scores, licence and attribution for every model: https://windytranslate.com/models/translate-ru-eo
Canonical copy: https://huggingface.co/WindyTranslate/translate-ru-eo
Translates Russian → 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 |
|---|---|
herm0/ |
WindyEnhanced — further fine-tuned on the OPUS-100, Tatoeba and WikiMatrix parallel corpora. |
herm0-ct2-int8/ |
WindyEnhanced · CPU INT8 — CTranslate2 INT8 quantization of WindyEnhanced. |
Quick usage
Transformers (PyTorch):
from transformers import MarianMTModel, MarianTokenizer
tokenizer = MarianTokenizer.from_pretrained("WindyWord/translate-ru-eo", subfolder="herm0")
model = MarianMTModel.from_pretrained("WindyWord/translate-ru-eo", subfolder="herm0")
CTranslate2 (fast CPU inference):
import ctranslate2
translator = ctranslate2.Translator("path/to/translate-ru-eo/herm0-ct2-int8")
Apps
The Windy Word apps are built on this model family.
Provenance & License
Weights derived from Helsinki-NLP/opus-mt-ru-eo (OPUS-MT, Helsinki-NLP, University of Helsinki), licensed Apache-2.0. Windy variants are released under the same licence.
Model tree for WindyWord/translate-ru-eo
Base model
Helsinki-NLP/opus-mt-ru-eo
# 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="WindyWord/translate-ru-eo")