Instructions to use WindyWord/translate-sg-fr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyWord/translate-sg-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-sg-fr")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindyWord/translate-sg-fr", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7d6fadbd379f318a88d896f472a35d8584a796a92c8e5fd1fac122dab08e8fae
- Size of remote file:
- 68.6 MB
- SHA256:
- 6dc0b5fc0a460998ea9cb98e4567e69c9408779f8d55da08474e38ec53aaa874
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