Instructions to use WindstormLabs/translate-fr-ts with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-fr-ts 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-ts")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-fr-ts", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3bf2070b009122d07f2bffc03aa073210f9b8869a425260bee930b332d0bf7e6
- Size of remote file:
- 77.1 MB
- SHA256:
- a8c69b6bcbd83c48e185a7daef6a3b31ca5edaa3bd41039a321e3ddd6249ba3d
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