Instructions to use WindyWord/translate-pon-fr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyWord/translate-pon-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-pon-fr")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindyWord/translate-pon-fr", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ad3c5ec4e22b7cc30e33a6ce1d70ed42abf3d04eeb25a2df00536462feb2512c
- Size of remote file:
- 75.1 MB
- SHA256:
- 8151e5ed9770978e68fbdc120a5557c73687389ccff3e24ed626e1ebec2d9800
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