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--- |
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language: |
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- da |
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license: apache-2.0 |
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--- |
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## daT5-large |
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A smaller version of [Google's mt5-large](https://huggingface.co/google/mt5-base) model, where the original model is reduced to only include Danish embeddings. |
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## How to use |
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```python |
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from transformers import AutoTokenizer, AutoModel |
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tokenizer = AutoTokenizer.from_pretrained("emillykkejensen/daT5-large") |
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model = AutoModel.from_pretrained("emillykkejensen/daT5-large") |
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``` |
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## Further reading |
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[Gist](https://gist.github.com/emillykkejensen/8bf1b323495efc7252dee966e6bc1b5c) showing (in Danish) how the embeddings are extracted (for mt5-base) |
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[Article](https://towardsdatascience.com/how-to-adapt-a-multilingual-t5-model-for-a-single-language-b9f94f3d9c90) explaining how to do it by [David Dale](https://huggingface.co/cointegrated) |
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## Also check out |
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[daT5-base](https://huggingface.co/emillykkejensen/daT5-base) |
