Instructions to use WindstormLabs/translate-lu-en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-lu-en 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-lu-en")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-lu-en", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 18b66c8e2f8ce439d90d4e59d40093f66c16fa276a19e3dda2acb83620c0ec59
- Size of remote file:
- 77.1 MB
- SHA256:
- 0a16168780d263e08f3f4d54116bb3c254e06440c2ccc31d1dce162739f3194a
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