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    Models/Object Detection/nsugianto/tblstructrecog_finetuned_detresnet_v2_s1_311s
    Object Detectiontransformersapache-2.0

    tblstructrecog_finetuned_detresnet_v2_s1_311s

    by nsugianto

    Identifier
    Model ID
    nsugianto/tblstructrecog_finetuned_detresnet_v2_s1_311s

    Tags

    transformerstensorboardsafetensorsdetrobject-detectiongenerated_from_trainerbase_model:facebook/detr-resnet-50base_model:finetune:facebook/detr-resnet-50license:apache-2.0endpoints_compatibleregion:us

    Use tblstructrecog_finetuned_detresnet_v2_s1_311s 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, tblstructrecog_finetuned_detresnet_v2_s1_311s runs as a managed extractor inside a processing pipeline. Point a bucket of object detection 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.