2dl/month
Identifier
Model ID
ahmedshark/layoutlmv2-base-uncased_finetuned_docvqa2Tags
transformerssafetensorslayoutlmv2document-question-answeringarxiv:1910.09700endpoints_compatibleregion:us
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Open StudioHow It Runs on Mixpeek
On Mixpeek, layoutlmv2-base-uncased_finetuned_docvqa2 runs as a managed extractor inside a processing pipeline. Point a bucket of document 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.
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Specification
Organizationahmedshark
TaskDocument Question Answering
Librarytransformers
Downloads/mo2
View on HuggingFace
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