Instructions to use gaudi/opus-mt-lua-en-ctranslate2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gaudi/opus-mt-lua-en-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-lua-en-ctranslate2")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("gaudi/opus-mt-lua-en-ctranslate2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c53cb294fb7d8cd103825fa9d7d4a9a59cf170738c2eb8c75e80192f3ca7a549
- Size of remote file:
- 150 MB
- SHA256:
- cf4e3b03480061887692c6bbfba6105fba4de563506477fc2fbcaf422c9aed22
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