Instructions to use WindyWord/translate-fr-wls with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyWord/translate-fr-wls 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="WindyWord/translate-fr-wls")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindyWord/translate-fr-wls", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 27af5f8f0b4003e7fce081c4e2ea35aecb6e614484356a80a1ea7f8a514d9766
- Size of remote file:
- 67.2 MB
- SHA256:
- 26f8ed6e5cf39b1c3006bce2cbba61b1562cff8ee5fed75cf5f8811d0dc5c05b
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