readme: ---
  language: pt
  license: mit
  tags:
  - msmarco
  - t5
  - pytorch
  - tensorflow
  - pt
  - pt-br
  datasets:
  - msmarco
  widget:
  - text: "Texto de exemplo em português"
  inference: false
  ---
  # PTT5-base Reranker finetuned on Portuguese MS MARCO
  ## Introduction
  ptt5-base-msmarco-pt-10k-v2 is a T5-based model pretrained in the BrWac corpus, finetuned on Portuguese translated version of MS MARCO passage dataset. In the v2 version, the Portuguese dataset was translated using Google Translate. This model was finetuned for 10k steps. 
  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.
  
  ## Usage
  ```python
  
  from transformers import T5Tokenizer, T5ForConditionalGeneration
  
  model_name = 'unicamp-dl/ptt5-base-msmarco-pt-10k-v2'
  tokenizer  = T5Tokenizer.from_pretrained(model_name)
  model      = T5ForConditionalGeneration.from_pretrained(model_name)
  
  ```
  # Citation
  If you use ptt5-base-msmarco-pt-10k-v2, please cite:
  
      @misc{bonifacio2021mmarco,
        title={mMARCO: A Multilingual Version of MS MARCO Passage Ranking Dataset}, 
        author={Luiz Henrique Bonifacio and Vitor Jeronymo and Hugo Queiroz Abonizio and Israel Campiotti and Marzieh Fadaee and  and Roberto Lotufo and Rodrigo Nogueira},
        year={2021},
        eprint={2108.13897},
        archivePrefix={arXiv},
        primaryClass={cs.CL}
  }
  
  
  