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
Update README.md
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by sckilford - opened
README.md
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@@ -13,7 +13,7 @@ This is a translation network that understands Sumerian and Akkadian languages w
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It was trained on cuneiform transcribed in the CDLI ATF format. For example:
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```text
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translate
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```
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The network was trained to translate from the ancient languages:
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It was trained on cuneiform transcribed in the CDLI ATF format. For example:
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```text
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translate English to Sumerian: 1(disz){d}szul3-ma-nu-_sag man gal?_-u2 _man_ dan-nu _man kisz_
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```
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The network was trained to translate from the ancient languages:
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