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    Models/Feature Extraction/cambridgeltl/SapBERT-from-PubMedBERT-fulltext
    Feature Extractiontransformersapache-2.0

    SapBERT-from-PubMedBERT-fulltext

    by cambridgeltl

    Identifier
    Model ID
    cambridgeltl/SapBERT-from-PubMedBERT-fulltext

    Tags

    transformerspytorchtfjaxsafetensorsbertfeature-extractionbiomedicallexical semanticsbionlpbiologyscienceembeddingentity linkingenarxiv:2010.11784license:apache-2.0endpoints_compatibleregion:us

    Use SapBERT-from-PubMedBERT-fulltext 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, SapBERT-from-PubMedBERT-fulltext runs as a managed extractor inside a processing pipeline. Point a bucket of feature extraction 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.