NEWVectors or files. Pick a path.Start →
    Models/Object Detection/nsugianto/tblstructrecog_finetuned_tbltransstrucrecog_v2_s1_370s
    Object Detectiontransformersmit

    tblstructrecog_finetuned_tbltransstrucrecog_v2_s1_370s

    by nsugianto

    Identifier
    Model ID
    nsugianto/tblstructrecog_finetuned_tbltransstrucrecog_v2_s1_370s

    Tags

    transformerstensorboardsafetensorstable-transformerobject-detectiongenerated_from_trainerbase_model:nsugianto/tblstructrecog_finetuned_tbltransstrucrecog_v2_s1_370sbase_model:finetune:nsugianto/tblstructrecog_finetuned_tbltransstrucrecog_v2_s1_370slicense:mitendpoints_compatibleregion:us

    Use tblstructrecog_finetuned_tbltransstrucrecog_v2_s1_370s 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, tblstructrecog_finetuned_tbltransstrucrecog_v2_s1_370s 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.