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 NOTICE.md from WindyWord/translate-ru-et: direct link, hf CLI and curl.
- Browser
- Download file 451 Bytes
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https://huggingface.co/WindyWord/translate-ru-et/resolve/main/NOTICE.md
- Command line
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hf download hf://WindyWord/translate-ru-et/NOTICE.md
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curl -L -o NOTICE.md https://huggingface.co/WindyWord/translate-ru-et/resolve/main/NOTICE.md
451 Bytes
NOTICE
WindyWord/translate-ru-et — https://huggingface.co/WindyWord/translate-ru-et
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. The full licence text is in LICENSE.
Published by Windstorm Labs. Catalogue entry: https://windytranslate.com/models/translate-ru-et