Instructions to use WindstormLabs/translate-sv-wls with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-sv-wls 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-sv-wls")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-sv-wls", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 804d7dc3853434f23d2c702c83e5fb4194e674ad0d2ad2749444e053bdd4af38
- Size of remote file:
- 827 kB
- SHA256:
- dbd3df5f4b26a8e93c8f1af06a3dbb8e81cd7751448b6eeea926804ddb11e31d
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