Instructions to use WindyWord/translate-sv-mos with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyWord/translate-sv-mos 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-mos")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindyWord/translate-sv-mos", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e8486dd51e77712e2f33bdc7a056f42d647e7bc27c8dd8497ce9bb3652275b8f
- Size of remote file:
- 71.2 MB
- SHA256:
- ad98a413942ee094f8b1e406cf213f27c19e75f07bab07ac12159027f1585ac3
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