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:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("praeclarum/cuneiform") model = AutoModelForSeq2SeqLM.from_pretrained("praeclarum/cuneiform") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7b2017a502c8d530aa6d05e2da42f76ab6cf12dc1215f5ef2d118dd76466cb52
- Size of remote file:
- 892 MB
- SHA256:
- 474cfbab903b79acecc5cf6132b46af90d88c508ff848f31a04a9dfbaeaa8ff8
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