Instructions to use WindstormLabs/translate-st-sv with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-st-sv 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-st-sv")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-st-sv", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4cb97a45cd2a61ec1759cc74556ad6a879b061dff994dfa6a15ed2d67851e7ed
- Size of remote file:
- 823 kB
- SHA256:
- 6a656fcb4da1d032e13bb752116e76d630fb81ce26ca087954189dc05e3efcc9
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