Instructions to use WindstormLabs/translate-sv-fj with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-sv-fj 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-fj")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-sv-fj", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fdd5c85d715f968d98eb012fd7744f938502c631572e9e6408e837452d3c223e
- Size of remote file:
- 854 kB
- SHA256:
- a572071bf644c76786bef8af996cacc0619624275da26f55e38b0f2d7a51da17
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