Token Classification & Named Entity Recognition

10 repos

Libraries and models for extracting and classifying named entities and tokens from text, including multilingual and domain-specific variants. The cluster centers on modern transformer architectures (ModernBERT) and specialized NER models (GLiNER) optimized for information extraction tasks, with support for RAG pipelines and efficient model formats like safetensors. These tools enable developers to build production-ready entity recognition systems across different languages and model sizes.

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