Instructions to use WindyWord/translate-fr-lu with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyWord/translate-fr-lu 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="WindyWord/translate-fr-lu")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindyWord/translate-fr-lu", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a705ad86f5004379de5ff32cb448c8ae66d4e306b432ad4a01468e0d2e6c8be8
- Size of remote file:
- 840 kB
- SHA256:
- f6780b9c98660151630ede730b59ffd0651dbfe6ee3830e6d6fd91f1b87d97d8
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