Instructions to use WindstormLabs/translate-es-sg with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-es-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-es-sg")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-es-sg", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c8b2238a0ea3907d7a31a39f31bf16c17b597a2589cc4fd27164b25e038a2dfc
- Size of remote file:
- 69.7 MB
- SHA256:
- 31e5c8a5c982fdf44e519cfeb7dbf7846e42ec0fc8ae1ae74875dfe57e6c6aca
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