readme: ---
  language: pt
  license: mit
  tags:
  - msmarco
  - t5
  - pytorch
  - tensorflow
  - pt
  - pt-br
  datasets:
  - msmarco
  widget:
  - text: "Texto de exemplo em portuguÃªs"
  inference: false
  ---
  # mt5-base Reranker finetuned on mMARCO
  ## Introduction
  mt5-base-mmarco-v1 is a mT5-based model fine-tuned on a multilingual translated version of MS MARCO passage dataset. This dataset, named Multi MS MARCO, is formed by 9 complete MS MARCO passages collection in 9 different languages.  In the version v1, the datasets were translated using [Helsinki](https://huggingface.co/Helsinki-NLP) NMT models.
  Further information about the dataset or the translation method can be found on our paper [**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, MT5ForConditionalGeneration
  
  model_name = 'unicamp-dl/mt5-base-mmarco-v1'
  tokenizer  = T5Tokenizer.from_pretrained(model_name)
  model      = MT5ForConditionalGeneration.from_pretrained(model_name)
  
  ```
  # Citation
  If you use mt5-base-mmarco-v1, 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}
  }