Literature · OpenMed
Compact 65M token-classification model that identifies haematologic malignancy mentions (leukaemia, lymphoma, myeloma subtypes) in clinical and biomedical text.
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About this model
Compact 65M token-classification model that identifies haematologic malignancy mentions (leukaemia, lymphoma, myeloma subtypes) in clinical and biomedical text. Served through the generic Modal runner, which pulls OpenMed/OpenMed-NER-BloodCancerDetect-TinyMed-65M 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.
