GLiNER-Multiv2.1 is an interactive Hugging Face Space demonstrating the GLiNER model for general-purpose named entity recognition. Users paste text and define the entity types they want to detect; the tool returns labeled results. It supports a wide range of entity classes out of the box and is useful for rapid data annotation and information extraction tasks.
GLiNER-Multiv2.1 sits in PulseGate's LLM eval & observability category. Quickly extracting and labeling arbitrary named entities from unstructured text without training a new model. It is built as a consumer product for data scientists and analysts. GLiNER-Multiv2.1 is free to use. GLiNER-Multiv2.1 is available on the web.
urchade builds and maintains GLiNER-Multiv2.1, and it first shipped in 2023. Key capabilities include Entity Recognition, Custom Entity Types, and Text Annotation.
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