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 model.bin from gaudi/opus-mt-eu-de-ctranslate2: direct link, hf CLI and curl.
- Browser
- Download file 112 MB
-
https://huggingface.co/gaudi/opus-mt-eu-de-ctranslate2/resolve/main/model.bin
- Command line
-
hf download hf://gaudi/opus-mt-eu-de-ctranslate2/model.bin
-
curl -L -o model.bin https://huggingface.co/gaudi/opus-mt-eu-de-ctranslate2/resolve/main/model.bin
112 MB
- Xet hash:
- b95d68205529da1a71c277868f866c1898175771cc8ab467fe03e49667355f7b
- Size of remote file:
- 112 MB
- SHA256:
- 5e0a283757cfd34f94d117023535ae291bbb783e5d684b92df1827791700bccf
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