<ul><li>ModernBERT is a novel language model that pushes the boundaries of natural language processing.</li><li>It is trained on 2 trillion tokens with an 8192 sequence length and outperforms existing encoder models regarding speed, memory efficiency, and performance.</li><li>ModernBERT incorporates modern architecture and training techniques such as GeGLU, ROPE, and alternating local-global attention.</li><li>This code snippet demonstrates the usage of ModernBERT for masked language modelling and its application in various NLP tasks.</li></ul>

ModernBERT: A Masked Language Modeling Exploration

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