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XLM-RoBERTa Base
XLM-RoBERTa Base is a multilingual transformer encoder pretrained on 2.5TB of filtered CommonCrawl text across 100 languages using masked language modeling. It is designed for fine-tuning on cross-lingual understanding tasks such as text classification, named-entity recognition, and question answering. Source: supabase.
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