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    Models/Image Feature Extraction/emarro/test-hnet-upload-baseline_pcad2_8k_cad_C3T1C19_NNone_D1024_lr-0.0005

    test-hnet-upload-baseline_pcad2_8k_cad_C3T1C19_NNone_D1024_lr-0.0005

    by emarro

    Identifier
    Model ID
    emarro/test-hnet-upload-baseline_pcad2_8k_cad_C3T1C19_NNone_D1024_lr-0.0005

    Tags

    transformerspytorchimage-feature-extractioncustom_codearxiv:1910.09700region:us

    Use test-hnet-upload-baseline_pcad2_8k_cad_C3T1C19_NNone_D1024_lr-0.0005 on Mixpeek

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    How It Runs on Mixpeek

    On Mixpeek, test-hnet-upload-baseline_pcad2_8k_cad_C3T1C19_NNone_D1024_lr-0.0005 runs as a managed extractor inside a processing pipeline. Point a bucket of image feature extraction 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.