Hugging Face Introduces mmBERT, a Multilingual Encoder for 1,800+ Languages
SMRTR summary
Hugging Face's new mmBERT encoder supports 1,833 languages through a progressive training approach that starts with 60 high-resource languages before gradually expanding to all languages, ensuring smaller languages don't get overwhelmed. This multilingual model outperforms previous baselines like XLM-R while maintaining efficiency with just 110M parameters and 8,192-token contexts.
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