Instructions to use WindyWord/translate-sg-sv with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyWord/translate-sg-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-sg-sv")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindyWord/translate-sg-sv", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 19179b137e1ace024e74d591e0013d40f702aa4befd78058651c7e877595c147
- Size of remote file:
- 69.3 MB
- SHA256:
- b1ae95b15ef99c0130594c3793bef7317231d2f375eaf38977be6f33c003b2d4
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