Instructions to use WindyTranslate/translate-en-cpp with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyTranslate/translate-en-cpp 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="WindyTranslate/translate-en-cpp")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("WindyTranslate/translate-en-cpp") model = AutoModelForSeq2SeqLM.from_pretrained("WindyTranslate/translate-en-cpp", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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Download NOTICE.md from WindyTranslate/translate-en-cpp: direct link, hf CLI and curl.
- Browser
- Download file 466 Bytes
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https://huggingface.co/WindyTranslate/translate-en-cpp/resolve/main/NOTICE.md
- Command line
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hf download hf://WindyTranslate/translate-en-cpp/NOTICE.md
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curl -L -o NOTICE.md https://huggingface.co/WindyTranslate/translate-en-cpp/resolve/main/NOTICE.md
466 Bytes
NOTICE
WindyTranslate/translate-en-cpp — https://huggingface.co/WindyTranslate/translate-en-cpp
Weights derived from Helsinki-NLP/opus-mt-en-cpp (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-en-cpp