Instructions to use WindyTranslate/translate-cpp-cpp with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyTranslate/translate-cpp-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-cpp-cpp")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("WindyTranslate/translate-cpp-cpp") model = AutoModelForSeq2SeqLM.from_pretrained("WindyTranslate/translate-cpp-cpp", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 471 Bytes
4667dc9 | 1 2 3 4 5 6 7 8 | # NOTICE
`WindyTranslate/translate-cpp-cpp` — https://huggingface.co/WindyTranslate/translate-cpp-cpp
Weights derived from [Helsinki-NLP/opus-mt-cpp-cpp](https://huggingface.co/Helsinki-NLP/opus-mt-cpp-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-cpp-cpp
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