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Create README.md

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+ converted checkpoint of [XLM-V](https://dl.fbaipublicfiles.com/fairseq/xlmv/xlmv.base.tar.gz) from fairseq to huggingface
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+ **Note: please use official checkpoints, if they will be added to transformers** (this repo is for personal usage/experiments)
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+ Citation
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+ --------
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+ ```
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+ @misc{https://doi.org/10.48550/arxiv.2301.10472,
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+ doi = {10.48550/ARXIV.2301.10472},
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+ url = {https://arxiv.org/abs/2301.10472},
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+ author = {Liang, Davis and Gonen, Hila and Mao, Yuning and Hou, Rui and Goyal, Naman and Ghazvininejad, Marjan and Zettlemoyer, Luke and Khabsa, Madian},
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+ keywords = {Computation and Language (cs.CL), Machine Learning (cs.LG), FOS: Computer and information sciences, FOS: Computer and information sciences},
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+ title = {XLM-V: Overcoming the Vocabulary Bottleneck in Multilingual Masked Language Models},
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+ publisher = {arXiv},
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+ year = {2023},
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+ copyright = {Creative Commons Attribution Share Alike 4.0 International}
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+ }
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+ ```