Instructions to use WindyWord/translate-sv-ty with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyWord/translate-sv-ty 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-ty")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindyWord/translate-sv-ty", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 42c5aea7dd7ff90ec1a5eee35c6f2107844c23645c998abc7fe4368d17de7936
- Size of remote file:
- 76.2 MB
- SHA256:
- 4dbceead72a23026491f6ff997f26d58beec6ab6622d44cc8472f717d6e7a161
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