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    Models/Image Classification/timm/resnetv2_50x1_bit.goog_in21k
    Image Classificationtimmapache-2.0

    resnetv2_50x1_bit.goog_in21k

    by timm

    Identifier
    Model ID
    timm/resnetv2_50x1_bit.goog_in21k

    Tags

    timmpytorchsafetensorsimage-classificationtransformersdataset:imagenet-21karxiv:1912.11370arxiv:1603.05027license:apache-2.0region:us

    Use resnetv2_50x1_bit.goog_in21k 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, resnetv2_50x1_bit.goog_in21k runs as a managed extractor inside a processing pipeline. Point a bucket of 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.