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    Models/Feature Extraction/tanganke/clip-vit-base-patch32_stl10
    Feature Extractiontransformers

    clip-vit-base-patch32_stl10

    by tanganke

    Identifier
    Model ID
    tanganke/clip-vit-base-patch32_stl10

    Tags

    transformerssafetensorsclip_vision_modelfeature-extractiondataset:tanganke/stl10base_model:openai/clip-vit-base-patch32base_model:finetune:openai/clip-vit-base-patch32endpoints_compatibleregion:us

    Use clip-vit-base-patch32_stl10 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-base-patch32_stl10 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.