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:
- 96b5fca2ebef33f050d93cb95127ddf04cd7e80cb1f4bc5b6385452a900c8f27
- Size of remote file:
- 77.1 MB
- SHA256:
- 64e9915e3862df66327db4e2d83e688a878dea3d280dec0a0c942350dc2e2b5d
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