metadata

language: pt
license: mit
tags:
  - msmarco
  - miniLM
  - pytorch
  - tensorflow
  - en
datasets:
  - msmarco
widget:
  - text: Texto de exemplo em portuguÃªs
inference: false

multilingual-MiniLM-L6-v2-en-msmarco Reranker finetuned on mMARCO

Introduction

multilingual-MiniLM-L6-v2-pt-msmarco is a multilingual miniLM-based model finetuned 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 and mMARCO repository.

Usage

from transformers import AutoTokenizer, AutoModel

model_name = 'unicamp-dl/multilingual-MiniLM-L6-v2-en-msmarco'
tokenizer  = AutoTokenizer.from_pretrained(model_name)
model      = AutoModel.from_pretrained(model_name)

Citation

If you use multilingual-MiniLM-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 Israel Campiotti and Vitor Jeronymo and Roberto Lotufo and Rodrigo Nogueira},
  year={2021},
  eprint={2108.13897},
  archivePrefix={arXiv},
  primaryClass={cs.CL}

}