Instructions to use gaudi/opus-mt-af-eo-ctranslate2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gaudi/opus-mt-af-eo-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-af-eo-ctranslate2")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("gaudi/opus-mt-af-eo-ctranslate2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.bin from gaudi/opus-mt-af-eo-ctranslate2: direct link, hf CLI and curl.
- Browser
- Download file 96.5 MB
-
https://huggingface.co/gaudi/opus-mt-af-eo-ctranslate2/resolve/main/model.bin
- Command line
-
hf download hf://gaudi/opus-mt-af-eo-ctranslate2/model.bin
-
curl -L -o model.bin https://huggingface.co/gaudi/opus-mt-af-eo-ctranslate2/resolve/main/model.bin
96.5 MB
- Xet hash:
- 8abc282866b031f8df346941384925494c5afb853f0cc128ded318486a5cb007
- Size of remote file:
- 96.5 MB
- SHA256:
- 77b67204f5702273ad669881d2745e81cc0db6e75875ca6072373211011a8432
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