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:
- 183a43bb9bc47ca7e01187c0e7528e20bd644057b2a4719c06750f63f34d83d4
- Size of remote file:
- 70.9 MB
- SHA256:
- 23ef1b5572f63cc49f189aa65908f3b64f988e2648fb6636b3f0890ff83871d3
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