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    Models/Sentence Similarity/Qdrant/clip-ViT-B-32-text
    Sentence Similaritytransformersmit

    clip-ViT-B-32-text

    by Qdrant

    Identifier
    Model ID
    Qdrant/clip-ViT-B-32-text

    Tags

    transformersonnxclip_text_modelsentence-similaritylicense:mitendpoints_compatibleregion:usdeploy:azure

    Use clip-ViT-B-32-text 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, clip-ViT-B-32-text 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.