Update XLM-R tips
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@@ -22,6 +22,9 @@ and XNLI benchmarks. We will make XLM-R code, data, and models publicly availabl
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Tips:
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- XLM-R is a multilingual model trained on 100 different languages. Unlike some XLM multilingual models, it does
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not require `lang` tensors to understand which language is used, and should be able to determine the correct
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language from the input ids.
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- This implementation is the same as RoBERTa. Refer to the `documentation of RoBERTa <./roberta.html>`__ for usage
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examples as well as the information relative to the inputs and outputs.
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