Instructions to use WindyWord/translate-sv-ts with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyWord/translate-sv-ts 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-ts")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindyWord/translate-sv-ts", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b3d0a0f0cdfd9b11af617787449a4dccf3e519db10560f765f62f968a626c33e
- Size of remote file:
- 76.8 MB
- SHA256:
- 2249bcf3829acbb7f4045183fb814acc54eeeb4c3b5fd2c0ce71b296516a6240
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