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README.md
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@@ -25,12 +25,13 @@ model = T5ForConditionalGeneration.from_pretrained("unicamp-dl/ptt5-v2-small")
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## Citation
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If you use our models, please cite:
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## Citation
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If you use our models, please cite:
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```
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@article{piau2024ptt5v2,
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title={ptt5-v2: A Closer Look at Continued Pretraining of T5 Models for the Portuguese Language},
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author={Marcos Piau and Roberto Lotufo and Rodrigo Nogueira},
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year={2024},
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eprint={2406.10806},
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archivePrefix={arXiv},
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primaryClass={id='cs.CL' full_name='Computation and Language' is_active=True alt_name='cmp-lg' in_archive='cs' is_general=False description='Covers natural language processing. Roughly includes material in ACM Subject Class I.2.7. Note that work on artificial languages (programming languages, logics, formal systems) that does not explicitly address natural-language issues broadly construed (natural-language processing, computational linguistics, speech, text retrieval, etc.) is not appropriate for this area.'}
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}
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```
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