Instructions to use WindstormLabs/translate-et-fr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-et-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-et-fr")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-et-fr", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5c13eb3eefebdf39aef4c1d566b8b204d72043a1ea4f645eaab9516206b1caff
- Size of remote file:
- 76 MB
- SHA256:
- aa1790786479c1cf6864be2d1e48017f038492487605924db261c31b63a7fc4c
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