Instructions to use WindyWord/translate-sv-sg with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyWord/translate-sv-sg 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-sg")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindyWord/translate-sv-sg", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c17fc8147960354687289532758adc8bd5ab9ef5cae9512f8fb0fe5a603472f1
- Size of remote file:
- 69.3 MB
- SHA256:
- bf5d419b9141d5db3ac7e45821df7e2518c2b8c6e1fdf56ca3430751deed93bf
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