Instructions to use WindyWord/translate-sg-es with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyWord/translate-sg-es 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-es")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindyWord/translate-sg-es", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8e8aac796e9c42b1fe9026b3d7b9e2b4b2c29cbf8584e26c9bac30a18b60cc97
- Size of remote file:
- 69.7 MB
- SHA256:
- 1a471417064b1e231040204425d1433f6d24f29e6697f9f4a1fe6debb64a05ac
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