Ihor/gliner-biomed-large-v1.0

The model was presented in the paper GLiNER-BioMed: A Suite of Efficient Models for Open Biomedical Named Entity Recognition.

Architecture

DeBERTa

Parameters

435M

Tasks

Extract

Outputs

Entities

License

apache-2.0

Languages

Benchmarks

news ner en

Named entity recognition on Reuters newswire text

Corpus: 3,453 Queries: 3,453

Quality

f1 0.6439

precision 0.5903

recall 0.7082

Performance L4 b1 c16