Instructions to use slprl/slam with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use slprl/slam with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import UnitLM model = UnitLM.from_pretrained("slprl/slam", 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.d521ab1
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Fix typos (#1)
Verified signature- Fix typos (b09eb4e62489bd6ab99efe37c5de5a191d297248) - Update README.md (a86fb434f954626112b1d4aef73dcb3be46b77e1) Co-authored-by: Niels Rogge <nielsr@users.noreply.huggingface.co>60f1002 -
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Upload UnitLM
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initial commit
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