Instructions to use WindstormLabs/translate-fr-swc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-fr-swc 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="WindstormLabs/translate-fr-swc")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-fr-swc", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a9c3c3a54a0ebd74366e26d53dcdfaf496bbdc16e757b1d536194c39ce829dd3
- Size of remote file:
- 843 kB
- SHA256:
- f6803f724d4df6a622875a0660b315ea12217fbf725e411bcd3b535c1604a20c
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