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

    nllb-siglip-mrl-base

    by visheratin

    320dl/month
    11likes
    Identifier
    Model ID
    visheratin/nllb-siglip-mrl-base

    Tags

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

    Use nllb-siglip-mrl-base 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, nllb-siglip-mrl-base 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.