Instructions to use WindstormLabs/translate-sv-to with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/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="WindstormLabs/translate-sv-to")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-sv-to", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 94ab194408d29af3f1becde0cbd14a8168e5c5f975f82d4ec31915fe2a6a83fd
- Size of remote file:
- 76.2 MB
- SHA256:
- dc545b6ea9e8208ab32173d0963156b406b153c206efef4654c8b8200c6cdfbe
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