Instructions to use WindstormLabs/translate-ms-fr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-ms-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-ms-fr")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-ms-fr", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- df9d3dbdc968779cb2e0dd20f10dc24a3be33330828f1c8ff3c0020ea3d86cb0
- Size of remote file:
- 810 kB
- SHA256:
- e6d2a2ccdc3392d902b519777ec9a5b83ee0dc127daa74a29d0f3badf65f51de
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