Instructions to use WindyWord/translate-fr-pag with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyWord/translate-fr-pag 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-pag")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindyWord/translate-fr-pag", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e52ff5c86d70dc99fe821696f3bffd3ff55b1741e6451226a2878dd95f85a610
- Size of remote file:
- 77.1 MB
- SHA256:
- c042ad5ba3c02653021378e0abc625a8cd4fc23f5a613bed6562b85b91159911
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