A single 205M-parameter encoder model unifies named entity recognition, text classification, and hierarchical structured extraction through declarative schemas.
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GLiNER2: An Efficient Multi-Task Information Extraction System with Schema-Driven Interface
A single 205M-parameter encoder model unifies named entity recognition, text classification, and hierarchical structured extraction through declarative schemas.