Instructions to use WindstormLabs/translate-sv-mt with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-sv-mt 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-mt")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-sv-mt", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cdee11ffc631884e4b4c60f2d6cb872a2e2436918c3ab03094c53b020f08f42c
- Size of remote file:
- 75.6 MB
- SHA256:
- 9d48f0b8b23c3ceeaa21bdb7dfecc509178d675da94427534a1cc9254632d2b0
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