Instructions to use WindyWord/translate-sv-xh with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyWord/translate-sv-xh 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-xh")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindyWord/translate-sv-xh", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 756e7a20f6613d85cfecb20e951305def33f8b50cdeacf6b634ce43fc51e9539
- Size of remote file:
- 847 kB
- SHA256:
- 3c2c43b8715ab85fdc828f4a46ea9ca8d0d92297333669739e3c08843dbe13a7
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