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README.md
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- text: "Texto de exemplo em português"
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inference: false
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---
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# mt5-base-
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## Introduction
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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.
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## Usage
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from transformers import T5Tokenizer, MT5ForConditionalGeneration
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model_name = 'unicamp-dl/mt5-base-
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tokenizer = T5Tokenizer.from_pretrained(model_name)
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model = MT5ForConditionalGeneration.from_pretrained(model_name)
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```
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# Citation
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If you use
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@misc{bonifacio2021mmarco,
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title={mMARCO: A Multilingual Version of MS MARCO Passage Ranking Dataset},
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author={Luiz Henrique Bonifacio and Israel Campiotti and Roberto Lotufo and Rodrigo Nogueira},
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year={2021},
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eprint={2108.13897},
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archivePrefix={arXiv},
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- text: "Texto de exemplo em português"
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inference: false
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---
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# mt5-base-mmarco-v1 Reranker finetuned on Multi MS MARCO
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## Introduction
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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.
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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.
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## Usage
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from transformers import T5Tokenizer, MT5ForConditionalGeneration
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model_name = 'unicamp-dl/mt5-base-mmarco-v1'
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tokenizer = T5Tokenizer.from_pretrained(model_name)
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model = MT5ForConditionalGeneration.from_pretrained(model_name)
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```
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# Citation
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If you use mt5-base-mmarco-v1, please cite:
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@misc{bonifacio2021mmarco,
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title={mMARCO: A Multilingual Version of MS MARCO Passage Ranking Dataset},
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author={Luiz Henrique Bonifacio and Vitor Jeronymo and Hugo Queiroz Abonizio and Israel Campiotti and Marzieh Fadaee and and Roberto Lotufo and Rodrigo Nogueira},
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year={2021},
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eprint={2108.13897},
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archivePrefix={arXiv},
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