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    Models/Visual Question Answering/ChiJuiChen/Lab10_VQA_fulltrain
    Visual Question Answeringtransformersapache-2.0

    Lab10_VQA_fulltrain

    by ChiJuiChen

    Identifier
    Model ID
    ChiJuiChen/Lab10_VQA_fulltrain

    Tags

    transformerstensorboardsafetensorsviltvisual-question-answeringgenerated_from_trainerdataset:coco_vqa_small_datasetbase_model:dandelin/vilt-b32-mlmbase_model:finetune:dandelin/vilt-b32-mlmlicense:apache-2.0endpoints_compatibleregion:us

    Use Lab10_VQA_fulltrain 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, Lab10_VQA_fulltrain runs as a managed extractor inside a processing pipeline. Point a bucket of visual question answering 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.