Instructions to use WindyWord/translate-ty-fr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyWord/translate-ty-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="WindyWord/translate-ty-fr")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindyWord/translate-ty-fr", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 216a904c3c8da55d1d56bb9928121b86493ce882e7f5587d317316ca0e523b28
- Size of remote file:
- 846 kB
- SHA256:
- b784a3647c29b9e6dd1b316c1c0187a82bb8cefee886836190c4fb1f57777475
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