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README.md
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# mT5-m2o-english-CrossSum
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This repository contains the mT5 checkpoint finetuned on all cross-lingual pairs of the [CrossSum](https://huggingface.co/datasets/csebuetnlp/
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## Using this model in `transformers` (tested on 4.11.0.dev0)
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If you use this model, please cite the following paper:
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```
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@
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Shahriyar, Rifat",
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booktitle = "Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021",
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month = aug,
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year = "2021",
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address = "Online",
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publisher = "Association for Computational Linguistics",
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url = "https://aclanthology.org/2021.findings-acl.413",
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pages = "4693--4703",
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}
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```
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# mT5-m2o-english-CrossSum
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This repository contains the many-to-one (m2o) mT5 checkpoint finetuned on all cross-lingual pairs of the [CrossSum](https://huggingface.co/datasets/csebuetnlp/CrossSum) dataset, where the target summary was in **english**, i.e. this model tries to **summarize text written in any language in English.** For finetuning details and scripts, see the [paper](https://arxiv.org/abs/2112.08804) and the [official repository](https://github.com/csebuetnlp/CrossSum).
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## Using this model in `transformers` (tested on 4.11.0.dev0)
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If you use this model, please cite the following paper:
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```
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@article{hasan2021crosssum,
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author = {Tahmid Hasan and Abhik Bhattacharjee and Wasi Uddin Ahmad and Yuan-Fang Li and Yong-bin Kang and Rifat Shahriyar},
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title = {CrossSum: Beyond English-Centric Cross-Lingual Abstractive Text Summarization for 1500+ Language Pairs},
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journal = {CoRR},
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volume = {abs/2112.08804},
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year = {2021},
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url = {https://arxiv.org/abs/2112.08804},
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eprinttype = {arXiv},
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eprint = {2112.08804}
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}
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```
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