Instructions to use WindstormLabs/translate-bi-sv with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-bi-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-bi-sv")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-bi-sv", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ff8b1d7d6990ffbb31d1f218981e12ea27cd9633cf54254833820b8534b7d163
- Size of remote file:
- 710 kB
- SHA256:
- a09dbd84bf679b3d201e0c427330a71796ae251bdbbd11c13490fa3fb6ab247d
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