Instructions to use WindstormLabs/translate-sv-fi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-sv-fi 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-fi")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-sv-fi", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7049e2a8aa6e35e6f91f01f27dd824f4f3cb16b0a330f6088726c1ffb40677bd
- Size of remote file:
- 827 kB
- SHA256:
- d088ad29a4369e8fd3e05f47b46cb0a773d933bfdce36d33509f6c3eb5f3c638
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