Hugging Face model: sassoftware/glitext-large-biomed
Author: sassoftware
Created: 2026-06-16 14:48:56
Last modified: 2026-06-19 16:46:57
Pipeline: token-classification
Library: glitext
Likes: 0 | Downloads: 0
Tags: glitext, pytorch, onnx, NER, GLiNER, information extraction, encoder, entity recognition, biomed, token-classification, en, dataset:anthonyyazdaniml/gliner-biomed-pre-training, dataset:anthonyyazdaniml/gliner-biomed-post-training, arxiv:2504.00676, arxiv:2311.08526, arxiv:2406.12925, base_model:microsoft/deberta-v3-large, base_model:quantized:microsoft/deberta-v3-large, license:apache-2.0, region:us
Base model relation: quantized
Base models: id: microsoft/deberta-v3-large
Card metadata:
license: apache-2.0
language: en
library_name: glitext
datasets: anthonyyazdaniml/gliner-biomed-pre-training, anthonyyazdaniml/gliner-biomed-post-training
pipeline_tag: token-classification
tags: NER, GLiNER, information extraction, encoder, entity recognition, biomed, glitext
base_model: microsoft/deberta-v3-large
metrics: f1
glitext: name: large-biomed
label: GliText Biomedical Recognition (Accurate)
description: An efficient zero-shot named entity recognition model tuned for biomedical text extraction with high accuracy.
recognition: yes
classification: no
association: no
span_mode: yes
size_gb: 1.93
hf_repo: sassoftware/glitext-large-biomed
source_url: Ihor/gliner-biomed-large-v1.0