Instructions to use WindyWord/translate-ru-et with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyWord/translate-ru-et 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="WindyWord/translate-ru-et")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindyWord/translate-ru-et", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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Download README.md from WindyWord/translate-ru-et: direct link, hf CLI and curl.
- Browser
- Download file 1.49 kB
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https://huggingface.co/WindyWord/translate-ru-et/resolve/main/README.md
- Command line
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hf download hf://WindyWord/translate-ru-et/README.md
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curl -L -o README.md https://huggingface.co/WindyWord/translate-ru-et/resolve/main/README.md
1.49 kB
metadata
license: apache-2.0
tags:
- translation
- marian
- windyword
- russian
- estonian
language:
- ru
- et
library_name: transformers
pipeline_tag: translation
base_model: Helsinki-NLP/opus-mt-ru-et
WindyWord.ai Translation — Russian → Estonian
Part of the Windstorm Labs open model catalogue. Scores, licence and attribution for every model: https://windytranslate.com/models/translate-ru-et
Canonical copy: https://huggingface.co/WindyTranslate/translate-ru-et
Translates Russian → Estonian.
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 |
|---|
Quick usage
Transformers (PyTorch):
from transformers import MarianMTModel, MarianTokenizer
tokenizer = MarianTokenizer.from_pretrained("WindyWord/translate-ru-et", subfolder="herm0")
model = MarianMTModel.from_pretrained("WindyWord/translate-ru-et", subfolder="herm0")
Apps
The Windy Word apps are built on this model family.
Provenance & License
Weights derived from Helsinki-NLP/opus-mt-ru-et (OPUS-MT, Helsinki-NLP, University of Helsinki), licensed Apache-2.0. Windy variants are released under the same licence.