Instructions to use WindyWord/translate-ty-sv with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyWord/translate-ty-sv 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-ty-sv")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindyWord/translate-ty-sv", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5c96e9b8c64710c719a450bdeab0d41bf02025445108e77f0348a27d2e691c8f
- Size of remote file:
- 76.2 MB
- SHA256:
- ea597b6ae484b123e7244d91a95e426330385f835b602f56b51b3a2a999806d4
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