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
File size: 1,486 Bytes
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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):**
```python
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](https://windyword.ai) apps are built on this model family.
---
## Provenance & License
Weights derived from [Helsinki-NLP/opus-mt-ru-et](https://huggingface.co/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.
Licence text: [`LICENSE`](LICENSE). Attribution: [`NOTICE.md`](NOTICE.md).
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