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    Models/Zero Shot Image Classification/visheratin/nllb-siglip-mrl-large
    Zero Shot Image Classificationopen_clipcc-by-nc-4.0

    nllb-siglip-mrl-large

    by visheratin

    411dl/month
    14likes
    Identifier
    Model ID
    visheratin/nllb-siglip-mrl-large

    Tags

    open_clippytorchclipzero-shot-image-classificationcustom_codedataset:visheratin/laion-coco-nllbarxiv:2205.13147license:cc-by-nc-4.0region:us

    Use nllb-siglip-mrl-large 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, nllb-siglip-mrl-large runs as a managed extractor inside a processing pipeline. Point a bucket of zero shot image 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.