Instructions to use gaudi/opus-mt-es-lua-ctranslate2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gaudi/opus-mt-es-lua-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-lua-ctranslate2")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("gaudi/opus-mt-es-lua-ctranslate2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- acb893b9ca8adc7bcbdd9bc86f785fd8525f6e60d64b021543d2c13d68a17cac
- Size of remote file:
- 151 MB
- SHA256:
- 405ea0c76792548cf12564b6d2fe9e0768772e420d435d7b2cb0946ff0fc8632
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