Instructions to use WindyWord/translate-sv-to with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyWord/translate-sv-to 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="WindyWord/translate-sv-to")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindyWord/translate-sv-to", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5d898e6573b8156ff4ecf14955fa4132f529c0c7dbcdfdad6372a6186bc3ffe9
- Size of remote file:
- 855 kB
- SHA256:
- 9472bb3d81d14819ab1251999a72adda060246a08b25a084b2fb03f8e705b335
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