{"library":"gliner2","type":"library","category":null,"description":"GLiNER2 is an efficient, unified information extraction system that combines Named Entity Recognition (NER), Text Classification, Structured Data Extraction, and Relation Extraction into a single 205M-parameter model. Built on a fine-tuned transformer encoder, it provides CPU-based inference for local processing without requiring complex pipelines or external API dependencies, offering a powerful alternative to larger language models.","language":"python","status":"active","version":"1.3.0","tags":["NLP","Information Extraction","NER","Text Classification","Structured Data Extraction","Relation Extraction","CPU-efficient","Zero-shot","Hugging Face"],"last_verified":"Tue May 26","install":[{"cmd":"pip install gliner2","imports":["from gliner2 import GLiNER2"]}],"homepage":null,"github":"https://github.com/fastino-ai/GLiNER2","docs":null,"changelog":null,"pypi":"https://pypi.org/project/gliner2/","npm":null,"openapi_spec":null,"status_page":null,"smithery":null,"compatibility":{"summary":{"python_range":"3.10–3.9","success_rate":40,"avg_install_s":80.5,"avg_import_s":18.9,"wheel_type":"wheel"},"url":"https://checklist.day/v1/registry/gliner2/compatibility"}}