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    Models/Token Classification/OpenMed/OpenMed-NER-AnatomyDetect-BioMed-335M
    Token Classificationtransformersapache-2.0

    OpenMed-NER-AnatomyDetect-BioMed-335M

    by OpenMed

    Identifier
    Model ID
    OpenMed/OpenMed-NER-AnatomyDetect-BioMed-335M

    Tags

    transformerssafetensorsberttoken-classificationnamed-entity-recognitionbiomedical-nlpanatomical-entity-recognitionmedical-terminologyanatomyhealthcareenarxiv:2508.01630license:apache-2.0endpoints_compatibleregion:us

    Use OpenMed-NER-AnatomyDetect-BioMed-335M on Mixpeek

    Build multimodal processing pipelines with this model and others. Extract features, run inference, and set up retrieval in Mixpeek Studio.

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    How It Runs on Mixpeek

    On Mixpeek, OpenMed-NER-AnatomyDetect-BioMed-335M 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.