Instructions to use WindyWord/translate-fr-tpi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyWord/translate-fr-tpi 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-tpi")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindyWord/translate-fr-tpi", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7146d958e2018a9f828d0219484f01164266b9ae8486d99505d64edce53c3263
- Size of remote file:
- 843 kB
- SHA256:
- 39e3b132e1b5016f32cabc8eaa4a908dd621ce5e3e34b6114a9480f6d713bc4e
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