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:
- ee663ed81df94f7e2b088ca76e2a202c218219dfa8e6a3292aa9d588d5acaedc
- Size of remote file:
- 533 kB
- SHA256:
- 6d1cebc68580c4998012b60baf8a912cbb87c6b61977b87af96fa1c5cb671dd3
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