Instructions to use gaudi/opus-mt-de-eu-ctranslate2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gaudi/opus-mt-de-eu-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-eu-ctranslate2")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("gaudi/opus-mt-de-eu-ctranslate2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download source.spm from gaudi/opus-mt-de-eu-ctranslate2: direct link, hf CLI and curl.
- Browser
- Download file 450 kB
-
https://huggingface.co/gaudi/opus-mt-de-eu-ctranslate2/resolve/main/source.spm
- Command line
-
hf download hf://gaudi/opus-mt-de-eu-ctranslate2/source.spm
-
curl -L -o source.spm https://huggingface.co/gaudi/opus-mt-de-eu-ctranslate2/resolve/main/source.spm
450 kB
- Xet hash:
- 64e9e2e5cb7f6e3d1d0f788357eaee27c9500671f25663716e4ba4c9852ea50d
- Size of remote file:
- 450 kB
- SHA256:
- 3a555306ee29d70e31828077510836a58a76dd69f11abf487758405981d3ee81
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