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    Models/Sentence Similarity/NeuML/pubmedbert-base-embeddings
    Sentence Similaritysentence-transformersapache-2.0

    pubmedbert-base-embeddings

    by NeuML

    944Kdl/month
    193likes
    Identifier
    Model ID
    NeuML/pubmedbert-base-embeddings

    Tags

    sentence-transformerspytorchsafetensorsbertfeature-extractionsentence-similaritytransformersenbase_model:microsoft/BiomedNLP-BiomedBERT-base-uncased-abstract-fulltextbase_model:finetune:microsoft/BiomedNLP-BiomedBERT-base-uncased-abstract-fulltextlicense:apache-2.0text-embeddings-inferenceendpoints_compatibleregion:usdeploy:azure

    Use pubmedbert-base-embeddings on Mixpeek

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

    Open Studio

    How It Runs on Mixpeek

    On Mixpeek, pubmedbert-base-embeddings runs as a managed extractor inside a processing pipeline. Point a bucket of sentence similarity 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.