Instructions to use WindyWord/translate-lu-fr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyWord/translate-lu-fr 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-lu-fr")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindyWord/translate-lu-fr", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 070c534eb58b1448a1516f9e0421ffed619beb5967633c8f89a1d448b29fba76
- Size of remote file:
- 77.8 MB
- SHA256:
- b1e6c1383bdc10c310ae402b05dff7dc9fbaaa270ed6f415ad5f6f31d47a641d
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