Instructions to use WindyWord/translate-sv-ty with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyWord/translate-sv-ty 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-ty")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindyWord/translate-sv-ty", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0a104f5a79dc56e613156784e0c32dd52a4ee04fee9a41cc5ebbfbf4a89670df
- Size of remote file:
- 766 kB
- SHA256:
- e4079e15bf14d15436d7afec0e72e62b3af94c5f32445abf2354fd12dd4e11a9
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