Instructions to use WindyWord/translate-sg-en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyWord/translate-sg-en 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-en")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindyWord/translate-sg-en", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d82e9324449f1bdcd15008a8f687751065602cec551bf6fd2bb77e10f5066254
- Size of remote file:
- 534 kB
- SHA256:
- 535390940d16665e1f8bb287285223f048e54190d34c7528075c4d2ae1afe565
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