Instructions to use gaudi/opus-mt-eo-pl-ctranslate2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gaudi/opus-mt-eo-pl-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-pl-ctranslate2")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("gaudi/opus-mt-eo-pl-ctranslate2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3cb064c644dc4658918c7d9c7fda4261d09fe800ff3ee5b5870ff06424c7578f
- Size of remote file:
- 96.3 MB
- SHA256:
- f17aafa531d9500343f11fee7c7e0414194b3f57bd6bf58c0dee92c64d51cdad
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