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# Web register classification (multilingual model)
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A multilingual web register classifier, fine-tuned from XLM-RoBERTa-large.
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The model is trained with the multilingual CORE corpora across five languages (English, Finnish, French, Swedish, Turkish) to classify documents based on the [CORE taxonomy](https://turkunlp.org/register-annotation-docs/).
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It can predict labels for the 100 languages covered by XLM-RoBERTa-large. The model achieves state-of-the-art performance in classifying web registers for the trained languages and has strong transfer performance (see Evaluation below).
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It is designed to support the development of open language models and for linguists analyzing register variation.
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# Web register classification (multilingual model)
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A multilingual web register classifier, fine-tuned from [XLM-RoBERTa-large](https://huggingface.co/FacebookAI/xlm-roberta-large).
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The model is trained with the multilingual CORE corpora across five languages (English, Finnish, French, Swedish, Turkish) to classify documents based on the [CORE taxonomy](https://turkunlp.org/register-annotation-docs/).
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It can predict labels for the 100 languages covered by XLM-RoBERTa-large. The model achieves state-of-the-art performance in classifying web registers for the trained languages and has strong transfer performance (see Evaluation below).
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It is designed to support the development of open language models and for linguists analyzing register variation.
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