Instructions to use WindstormLabs/translate-sv-id with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-sv-id 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-sv-id")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-sv-id", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 653595ad623a08cead7ffb5f669ccb71951eb1485d0be255aca07eb96811b477
- Size of remote file:
- 75.1 MB
- SHA256:
- 05e9a974d186bc3c9f570253a491bd27842594d772f5f2e65390e0d274d2667c
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