Instructions to use gaudi/opus-mt-de-eo-ctranslate2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gaudi/opus-mt-de-eo-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-de-eo-ctranslate2")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("gaudi/opus-mt-de-eo-ctranslate2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d6904eb35cb98db5c2a421e543932c3f2f7442e8135b4d734cae9d96a1b0c6b3
- Size of remote file:
- 150 MB
- SHA256:
- 9e3c2f0e6d8863323274c53a743a1429be07c81aa438f760c9d7e4c8f0e91de5
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