Instructions to use WindyWord/translate-sv-wls with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyWord/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="WindyWord/translate-sv-wls")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindyWord/translate-sv-wls", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 55cbd3378901605630749e2298d1dd5338e6d5dc2a7ddf924ba25c386b8e0751
- Size of remote file:
- 66.5 MB
- SHA256:
- 11ba6bd6aa7cc1ba339adc390e1fd9a1420ec5354d97a800e26afe385f30da1c
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