Instructions to use WindyWord/translate-sv-bcl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyWord/translate-sv-bcl 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-bcl")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindyWord/translate-sv-bcl", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4a9e6fa1b3d749a26e3c6f174658b68fb2320be2d158501a5cd1fcbb6f2e6c83
- Size of remote file:
- 76.9 MB
- SHA256:
- 942ec0d3ef8c80148f8d37a8ef285818762f151dad2f9cb03d08ba9d884ef4b3
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