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XLM-RoBERTa Large
XLM-RoBERTa Large is a multilingual encoder-only language model pre-trained on 2.5TB of filtered CommonCrawl text spanning 100 languages. It is designed for cross-lingual transfer and fine-tuning on NLP tasks such as text classification, token labeling, and question answering. Source: supabase.
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