Instructions to use WindstormLabs/translate-sv-tll with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-sv-tll 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-tll")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-sv-tll", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3ca8903a8473689b1b99a5ff73b4f2b55ec1ba916bd4f467df44da86925e8342
- Size of remote file:
- 850 kB
- SHA256:
- 0c5f2e8541b52619e0fb9a8aa8f9baeb294dd5365efa7f561ee756e447a32d48
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