88Kdl/month
Identifier
Model ID
OpenMed/OpenMed-NER-OncologyDetect-ModernMed-395MTags
transformerssafetensorsmodernberttoken-classificationnamed-entity-recognitionbiomedical-nlpcancer-geneticsoncologygene-regulationcancer-researchamino_acidanatomical_systemcancercellcellular_componentdeveloping_anatomical_structuregene_or_gene_productimmaterial_anatomical_entitymulti-tissue_structureorganorganismorganism_subdivisionorganism_substancepathological_formationsimple_chemicaltissueenarxiv:2508.01630license:apache-2.0endpoints_compatible
Use OpenMed-NER-OncologyDetect-ModernMed-395M on Mixpeek
Build multimodal processing pipelines with this model and others. Extract features, run inference, and set up retrieval in Mixpeek Studio.
Open StudioHow It Runs on Mixpeek
On Mixpeek, OpenMed-NER-OncologyDetect-ModernMed-395M runs as a managed extractor inside a processing pipeline. Point a bucket of token classification data at it, and Mixpeek handles GPU provisioning, batching, retries, and writing the outputs into a vector store you can query.
Extractor outputs land in the Mixpeek Vector Store (MVS), where you can combine them with retrieval, reranking, and filter stages to build end-to-end search and agent-perception pipelines, no model-serving infrastructure to maintain.
Specification
OrganizationOpenMed
TaskToken Classification
Librarytransformers
Licenseapache-2.0
Downloads/mo88K
View on HuggingFace
See model card, files, and community discussion
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