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unicamp-dl/mMiniLM-L6-v2-pt-msmarco-v1

sourceHugging Facemitupdated 5y agoView on Hugging Face
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mMiniLM-L6-v2 Reranker finetuned on mMARCO

Introduction

mMiniLM-L6-v2-pt-msmarco-v1 is a multilingual miniLM-based model finetuned on a Portuguese translated version of MS MARCO passage dataset. In the version v1, the Portuguese dataset was translated using Helsinki NMT model. 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

python
from transformers import AutoTokenizer, AutoModel

model_name = 'unicamp-dl/mMiniLM-L6-v2-pt-msmarco-v1'
tokenizer  = AutoTokenizer.from_pretrained(model_name)
model      = AutoModel.from_pretrained(model_name)

Citation

If you use mMiniLM-L6-v2-pt-msmarco-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} }