Instructions to use gaudi/opus-mt-cpp-en-ctranslate2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gaudi/opus-mt-cpp-en-ctranslate2 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="gaudi/opus-mt-cpp-en-ctranslate2")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("gaudi/opus-mt-cpp-en-ctranslate2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5818814394b268256cd4c8d83f3f4bf17dbba02107c03a562b43c7c22954e687
- Size of remote file:
- 148 MB
- SHA256:
- 3217b35cd94cf81dd6b1d512e32187bfa7852608869d1a55224a645810eabb50
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