Instructions to use praeclarum/cuneiform with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use praeclarum/cuneiform with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("praeclarum/cuneiform") model = AutoModelForSeq2SeqLM.from_pretrained("praeclarum/cuneiform", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Remove out of date safetensors
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ModelId t5-base-bi-akksux-en-20230606-163222-fullytrained
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ModelId t5-base-bi-akksux-en-20230531-134528-fullytrained
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Adding `safetensors` variant of this model (#1)
- Adding `safetensors` variant of this model (107ad02b8a0f4fd5a3134b8a8b6633c04f024561) Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>7ec3363
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Update README.md
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Update README.md
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First version of the cuneiform model and tokenizer.
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Describe the network
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initial commit
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