Instructions to use WindstormLabs/translate-sv-sl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-sv-sl 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-sl")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-sv-sl", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 93c6440ffe083224aef1dc1ea37301ffc9663624848d6a96c83c039b157bc250
- Size of remote file:
- 295 MB
- SHA256:
- 2329865991ed464bad4219357a181ce213d25ed4aa73d7e9446cc6c8a3ce0464
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