Instructions to use gaudi/opus-mt-eo-de-ctranslate2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gaudi/opus-mt-eo-de-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-de-ctranslate2")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("gaudi/opus-mt-eo-de-ctranslate2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- af111b529a4051cad70715d4451ae71267512727be3b747219f0c42051b1a428
- Size of remote file:
- 150 MB
- SHA256:
- 0cee630c44f13dfdf9152d8bf7ee76064b113c66f9a384cc1cbd3fa828e6fe23
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