Literature · OpenMed
DNA-mention NER for biomedical text — extracts gene-level DNA sequence references and locus identifiers using the SuperMedical 125M backbone.
< 1s
Runs on On-demand GPU
Runs on our servers with on-demand compute. A first run needs time to load the model; active capacity can be reused and scales down when idle.Run this model
About this model
DNA-mention NER for biomedical text — extracts gene-level DNA sequence references and locus identifiers using the SuperMedical 125M backbone. Served through the generic Modal runner, which pulls OpenMed/OpenMed-NER-DNADetect-SuperMedical-125M from the Hugging Face Hub and runs it as a token-classification pipeline. Inputs and outputs were derived from the repository's declared pipeline tag rather than written by hand — check the model card before relying on a result.
Standardized I/O contract
Every model in the Hub speaks the same contract, which is what lets the Router and the agent call any of them without special-casing.
Inputs
Text
Outputs
Labels with confidence scores, highest first.
