readme: ---
  language: pt
  license: mit
  tags:
  - msmarco
  - miniLM
  - pytorch
  - tensorflow
  - en
  datasets:
  - msmarco
  widget:
  - text: "Texto de exemplo em portuguÃªs"
  inference: false
  ---
  # mMiniLM-L6 Reranker finetuned on English MS MARCO
  ## Introduction
  mMiniLM-L6-v2-en-msmarco is a multilingual miniLM-based model fine-tuned on English MS MARCO passage dataset. 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 AutoTokenizer, AutoModel
  
  model_name = 'unicamp-dl/mMiniLM-L6-v2-en-msmarco'
  tokenizer  = AutoTokenizer.from_pretrained(model_name)
  model      = AutoModel.from_pretrained(model_name)
  
  ```
  # Citation
  If you use mMiniLM-L6-v2-en-msmarco, please cite:
  
      @misc{bonifacio2021mmarco,
        title={mMARCO: A Multilingual Version of the 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}
  }
  
  