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README.md
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## Model description
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The model used in this task is XLM-RoBERTa transformer model with a classification head on top.
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## Intended uses & limitations
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It identifies the language a document is written in and it supports 20 different langauges:
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* German (de)
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* Modern greek (el)
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* English (en)
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* Spanish (es)
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* French (fr)
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* Hindi (hi)
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* Italian (it)
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* Japanese (ja)
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* Dutch (nl)
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* Polish (pl)
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* Portuguese (pt)
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* Russian (ru)
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* Swahili (sw)
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* Thai (th)
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* Turkish (tr)
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* Urdu (ur)
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* Vietnamese (vi)
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* Chinese (zh)
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## Training and evaluation data
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## Model description
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The model used in this task is XLM-RoBERTa, a transformer model with a classification head on top.
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## Intended uses & limitations
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It identifies the language a document is written in and it supports 20 different langauges:
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Arabic (ar), Bulgarian (bg), German (de), Modern greek (el), English (en), Spanish (es), French (fr), Hindi (hi), Italian (it), Japanese (ja), Dutch (nl), Polish (pl), Portuguese (pt), Russian (ru), Swahili (sw), Thai (th), Turkish (tr), Urdu (ur), Vietnamese (vi), Chinese (zh)
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## Training and evaluation data
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