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:
- 2290d9ef6680a3f390d2aede6033fb70e5a999ad506d0861e3d63e5add5daee4
- Size of remote file:
- 581 kB
- SHA256:
- ca3e21cdf31a0d5843c8c5aaf6723f020384523e8bfb4075e23754b7bb828dc6
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