Instructions to use gaudi/opus-mt-eu-de-ctranslate2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gaudi/opus-mt-eu-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-eu-de-ctranslate2")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("gaudi/opus-mt-eu-de-ctranslate2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download source.spm from gaudi/opus-mt-eu-de-ctranslate2: direct link, hf CLI and curl.
- Browser
- Download file 450 kB
-
https://huggingface.co/gaudi/opus-mt-eu-de-ctranslate2/resolve/main/source.spm
- Command line
-
hf download hf://gaudi/opus-mt-eu-de-ctranslate2/source.spm
-
curl -L -o source.spm https://huggingface.co/gaudi/opus-mt-eu-de-ctranslate2/resolve/main/source.spm
450 kB
- Xet hash:
- 56e4732ceb7dcc11eede4ab327fc946797a91750196b3cdfcf82e3f29300bdfe
- Size of remote file:
- 450 kB
- SHA256:
- 37202c56a5b085c3ee5f8775e5307ff169e8d6564d32c3c9f11969a40409e472
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