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--- |
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language: pt |
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license: mit |
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tags: |
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- msmarco |
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- t5 |
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- pytorch |
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- tensorflow |
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- pt |
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- pt-br |
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datasets: |
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- msmarco |
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widget: |
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- text: "Texto de exemplo em português" |
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inference: false |
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--- |
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# PTT5-base Reranker finetuned on Portuguese MS MARCO |
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## Introduction |
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ptt5-base-msmarco-pt-100k-v1 is a T5-based model pretrained in the BrWac corpus, finetuned on Portuguese translated version of MS MARCO passage dataset. In the version v1, the Portuguese dataset was translated using [Helsinki](https://huggingface.co/Helsinki-NLP) NMT model. This model was finetuned for 100k steps. |
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Further information about the dataset or the translation method can be found on our [**mMARCO: A Multilingual Version of MS MARCO Passage Ranking Dataset**](https://arxiv.org/abs/2108.13897) and [mMARCO](https://github.com/unicamp-dl/mMARCO) repository. |
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## Usage |
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```python |
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from transformers import T5Tokenizer, T5ForConditionalGeneration |
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model_name = 'unicamp-dl/ptt5-base-msmarco-pt-100k-v1' |
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tokenizer = T5Tokenizer.from_pretrained(model_name) |
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model = T5ForConditionalGeneration.from_pretrained(model_name) |
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``` |
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# Citation |
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If you use ptt5-base-msmarco-pt-100k-v1, please cite: |
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@misc{bonifacio2021mmarco, |
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title={mMARCO: A Multilingual Version of MS MARCO Passage Ranking Dataset}, |
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author={Luiz Henrique Bonifacio and Vitor Jeronymo and Hugo Queiroz Abonizio and Israel Campiotti and Marzieh Fadaee and and Roberto Lotufo and Rodrigo Nogueira}, |
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year={2021}, |
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eprint={2108.13897}, |
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archivePrefix={arXiv}, |
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primaryClass={cs.CL} |
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} |
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