{"library":"gliner","type":"library","category":null,"description":"GLiNER is a Python library providing a Generalist and Lightweight Model for Named Entity Recognition (NER). It's built on a bidirectional transformer encoder (BERT-like) and can identify any entity type using zero-shot capabilities. It serves as an efficient alternative to traditional NER models and large language models (LLMs) for resource-constrained environments, offering competitive performance on CPUs and consumer hardware. The library currently stands at version 0.2.26 with frequent updates and an active development cadence.","language":"python","status":"active","version":"0.2.26","tags":["nlp","ner","named-entity-recognition","machine-learning","transformers","zero-shot","data-science","artificial-intelligence"],"last_verified":"Sat May 23","install":[{"cmd":"pip install gliner","imports":["from gliner import GLiNER"]},{"cmd":"pip install 'gliner[gpu]' # for GPU-backed ONNX runtime","imports":[]}],"homepage":null,"github":"https://github.com/urchade/GLiNER","docs":null,"changelog":null,"pypi":"https://pypi.org/project/gliner/","npm":null,"openapi_spec":null,"status_page":null,"smithery":null,"compatibility":{"summary":{"python_range":"3.10–3.9","success_rate":40,"avg_install_s":78.3,"avg_import_s":15.93,"wheel_type":"wheel"},"url":"https://checklist.day/v1/registry/gliner/compatibility"}}