Literature · OpenMed
Token-classification model for pharmaceutical entity recognition in clinical text — built on the SuperClinical 434M backbone for high-recall drug, dose, and regimen extraction.
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About this model
Token-classification model for pharmaceutical entity recognition in clinical text — built on the SuperClinical 434M backbone for high-recall drug, dose, and regimen extraction. Served through the generic Modal runner, which pulls OpenMed/OpenMed-NER-PharmaDetect-SuperClinical-434M 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
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Inputs
Text
Outputs
Labels with confidence scores, highest first.
