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--- |
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language: pt |
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license: mit |
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tags: |
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- msmarco |
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- miniLM |
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- pytorch |
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- tensorflow |
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- pt |
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- pt-br |
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datasets: |
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- msmarco |
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widget: |
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- text: "Texto de exemplo em português" |
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inference: false |
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--- |
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# multilingual-MiniLM-L6-v2-en-pt-msmarco Reranker finetuned on mMARCO |
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## Introduction |
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multilingual-MiniLM-L6-v2-en-pt-msmarco is a multilingual miniLM-based model finetuned on a bilingual version of MS MARCO passage dataset. This bilingual dataset version is formed by the original MS MARCO dataset (in English) and a Portuguese translated version. |
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Further information about the dataset or the translation method can be found on our [Cross-Lingual repository](https://github.com/unicamp-dl/cross-lingual-analysis). |
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## Usage |
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```python |
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from transformers import AutoTokenizer, AutoModel |
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model_name = 'unicamp-dl/multilingual-MiniLM-L6-v2-en-pt-msmarco' |
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tokenizer = AutoTokenizer.from_pretrained(model_name) |
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model = AutoModel.from_pretrained(model_name) |
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``` |
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# Citation |
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If you use mt5-base-en-pt-msmarco, please cite: |
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@article{rosa2021cost, |
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title={A cost-benefit analysis of cross-lingual transfer methods}, |
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author={Rosa, Guilherme Moraes and Bonifacio, Luiz Henrique and de Souza, Leandro Rodrigues and Lotufo, Roberto and Nogueira, Rodrigo}, |
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journal={arXiv preprint arXiv:2105.06813}, |
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year={2021} |
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} |
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