Instructions to use WindstormLabs/translate-fr-lus with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-fr-lus 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="WindstormLabs/translate-fr-lus")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-fr-lus", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 07194e04a6c7ab978d92c8cc16ebd8681afbd3e552fe8e3965f855ffe3dea6f5
- Size of remote file:
- 838 kB
- SHA256:
- a03074c4dad6f3f147a68fd19df96b00317ba1d9c4e89b8ec9809f2d925d8fba
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