Instructions to use gaudi/opus-mt-eo-ro-ctranslate2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gaudi/opus-mt-eo-ro-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-eo-ro-ctranslate2")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("gaudi/opus-mt-eo-ro-ctranslate2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5b35c1a1d5d7a00164e5fc2735097f45a01deace4980d7d4e560d6cc30dfb22f
- Size of remote file:
- 96.3 MB
- SHA256:
- c8e7bd8cb192e5d73b36f824754513bd7bff5bf32732182a6d5fc5ef9d0ddac2
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