Instructions to use WindyTranslate/translate-cpp-en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyTranslate/translate-cpp-en 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-en")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("WindyTranslate/translate-cpp-en") model = AutoModelForSeq2SeqLM.from_pretrained("WindyTranslate/translate-cpp-en", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 58c0bc4c2ea00d210e27a95d7d0048347d874000da31a19cdcab80cc611bdf62
- Size of remote file:
- 295 MB
- SHA256:
- eebf0c058c9e5ed02592f4d84324612e402974c0989d6966ed5a2d8e077da75d
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