Instructions to use WindstormLabs/translate-ts-fr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-ts-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="WindstormLabs/translate-ts-fr")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-ts-fr", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d9e6294391d7133c8d49ec4f781cc06acd6de472345a2fb4c233251d04e1b161
- Size of remote file:
- 845 kB
- SHA256:
- 592810a00e94c5c4c70e4f899417b1b2dad725fba2ef3ab05fdd2e49b3dc41ce
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