Model: OpenMed/OpenMed-ZeroShot-NER-BloodCancer-Multi-209M
Author: OpenMed
Pipeline: token-classification
Library: gliner
Tags: gliner, pytorch, token-classification, entity recognition, named-entity-recognition, zero-shot, zero-shot-ner, zero shot, biomedical-nlp, leukemia, hematology, cancer, clinical-medicine, disease, gene, protein, treatment, en, arxiv:2508.01630, license:apache-2.0, region:us
Card metadata: widget: The patient presented with chronic lymphocytic leukemia symptoms., B-cell proliferation was observed in bone marrow samples., Treatment with ibrutinib showed promising results., Flow cytometry confirmed the diagnosis of chronic lymphocytic leukemia., The patient had del(17p), a high-risk feature in CLL.
tags: token-classification, entity recognition, named-entity-recognition, zero-shot, zero-shot-ner, zero shot, biomedical-nlp, gliner, leukemia, hematology, cancer, clinical-medicine, disease, gene, protein, treatment
language: en
license: apache-2.0
Likes: 1 | All-time downloads: 14382
Created: 2025-09-15 21:32:14