Instructions to use WindstormLabs/translate-sg-es with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/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="WindstormLabs/translate-sg-es")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-sg-es", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 01ac6c7640442a7c307c4c60786ece7eb9ecb4daf1690cb113d27d958e5b8076
- Size of remote file:
- 847 kB
- SHA256:
- 1ca195d68b2e0fed29243d9feaa74f758fdefe5cfcd2e052be0b6d40e52b6a5c
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