Instructions to use gaudi/opus-mt-es-da-ctranslate2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gaudi/opus-mt-es-da-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-es-da-ctranslate2")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("gaudi/opus-mt-es-da-ctranslate2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.bin from gaudi/opus-mt-es-da-ctranslate2: direct link, hf CLI and curl.
- Browser
- Download file 148 MB
-
https://huggingface.co/gaudi/opus-mt-es-da-ctranslate2/resolve/main/model.bin
- Command line
-
hf download hf://gaudi/opus-mt-es-da-ctranslate2/model.bin
-
curl -L -o model.bin https://huggingface.co/gaudi/opus-mt-es-da-ctranslate2/resolve/main/model.bin
148 MB
- Xet hash:
- 64bc66ae3fef4647a08be565f118aaca530e89ececbde18170de87a8320b3a9d
- Size of remote file:
- 148 MB
- SHA256:
- 908adb57bf496202e5a2966af233c33774d0612ad5756cdc591d2c154df752a5
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