Instructions to use WindstormLabs/translate-lus-fr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-lus-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="WindstormLabs/translate-lus-fr")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-lus-fr", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1ed18e29cf2f408fe07ca7169a6770f3ea5f2d1160ce9c57b9d3d2828a11417a
- Size of remote file:
- 678 kB
- SHA256:
- 64b8ad9a87fe1ee28562cc6e824eae498d71d264ae0d9dd30faee749afc2674a
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