Instructions to use WindstormLabs/translate-en-sg with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-en-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="WindstormLabs/translate-en-sg")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-en-sg", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 163c5bf7c9856c35bd206897e829a536b6f7abdd11bfab5386f2bda5172fe27f
- Size of remote file:
- 812 kB
- SHA256:
- b17f0e349c085b0bba93ede1afb4a970ff05c3063a084a0b9a12731c14e33521
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