Instructions to use gaudi/opus-mt-aed-es-ctranslate2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gaudi/opus-mt-aed-es-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-aed-es-ctranslate2")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("gaudi/opus-mt-aed-es-ctranslate2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download source.spm from gaudi/opus-mt-aed-es-ctranslate2: direct link, hf CLI and curl.
- Browser
- Download file 686 kB
-
https://huggingface.co/gaudi/opus-mt-aed-es-ctranslate2/resolve/main/source.spm
- Command line
-
hf download hf://gaudi/opus-mt-aed-es-ctranslate2/source.spm
-
curl -L -o source.spm https://huggingface.co/gaudi/opus-mt-aed-es-ctranslate2/resolve/main/source.spm
686 kB
- Xet hash:
- 24450e4da1bf94db96551ed5147fd06098504975a9b8eb9fd26a5e50df2b3500
- Size of remote file:
- 686 kB
- SHA256:
- 0a469ba7fd19386b913383b924581ebd61b38761fe611e473e6f4f664d89a807
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