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:
- 3c3647f3e039c5c87280d44a7aa98257ef504d922150c6fea20aeb310efcce38
- Size of remote file:
- 808 kB
- SHA256:
- 240a4fb803a9d6b376896f54e99dcf4c8f8249a01ea91eb532b949e41e1bad04
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