NEWVectors or files. Pick a path.Start →
    Models/Zero Shot Image Classification/fancyfeast/so400m-long
    Zero Shot Image Classificationtransformersapache-2.0

    so400m-long

    by fancyfeast

    209dl/month
    12likes
    Identifier
    Model ID
    fancyfeast/so400m-long

    Tags

    transformerssafetensorssiglipzero-shot-image-classificationvisionenarxiv:2502.14786base_model:google/siglip2-so400m-patch14-384base_model:finetune:google/siglip2-so400m-patch14-384license:apache-2.0endpoints_compatibleregion:us

    Use so400m-long 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, so400m-long 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.