Instructions to use WindyWord/translate-pis-fr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyWord/translate-pis-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-pis-fr")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindyWord/translate-pis-fr", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 869b7f5d02e7440c96b2729719a7a5997cecad0decd0e9a5bec9c8c0311ac315
- Size of remote file:
- 842 kB
- SHA256:
- 8999e53e0f9a4df84b7c65c8398e98aa7b3f4d394eeaea2b39eefa47f27349f7
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