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# Model Details
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## Model Description
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- **Developed by:** See [associated paper](https://arxiv.org/abs/1911.02116)
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- **Model type:** Multi-lingual language model
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# Model Details
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## Model Description
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The XLM-RoBERTa model was proposed in [Unsupervised Cross-lingual Representation Learning at Scale](https://arxiv.org/abs/1911.02116) by Alexis Conneau, Kartikay Khandelwal, Naman Goyal, Vishrav Chaudhary, Guillaume Wenzek, Francisco Guzmán, Edouard Grave, Myle Ott, Luke Zettlemoyer and Veselin Stoyanov. It is based on Facebook's RoBERTa model released in 2019. It is a large multi-lingual language model, trained on 2.5TB of filtered CommonCrawl data. This model is [XLM-RoBERTa-large](https://huggingface.co/xlm-roberta-large) fine-tuned with the [conll2003](https://huggingface.co/datasets/conll2003) dataset in English.
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- **Developed by:** See [associated paper](https://arxiv.org/abs/1911.02116)
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- **Model type:** Multi-lingual language model
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