Instructions to use slprl/slam_scaled with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use slprl/slam_scaled with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import UnitLM model = UnitLM.from_pretrained("slprl/slam_scaled", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Improve language tag
Verified signatureHi! As the model is multilingual, this is a PR to add other languages than English to the language tag to improve the referencing. Note that 29 languages are announced in the README, but only 13 are explicitly listed. I was therefore only able to add these 13 languages.0d2e06b
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Fix typos (#1)
Verified signature- Correct pipeline tag in model card (ff0ab65f3d1598bb6622b2a85c217ce175723d6e) - Update README.md (e6504e164bd68545ee3d356761e5261e2c783f0b) Co-authored-by: Niels Rogge <nielsr@users.noreply.huggingface.co>b301b9f -
Update README.md
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Update README.md
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Update README.md
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Update README.md
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Upload UnitLM
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initial commit
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