Instructions to use WindstormLabs/translate-sv-is with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-sv-is 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-is")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-sv-is", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9b59c26392e8c2a555e42a665e6f5a5d8e4d71098f9f2d6507aba258476cccee
- Size of remote file:
- 826 kB
- SHA256:
- d2cc95115f04026ac8e36d3e940df72c337f94bae9a533d6651408140cdea3e8
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