layoutlmv2-base-uncased_finetuned_docvqa
by PrimWong
4dl/month
Identifier
Model ID
PrimWong/layoutlmv2-base-uncased_finetuned_docvqaTags
transformerstensorboardsafetensorslayoutlmv2document-question-answeringgenerated_from_trainerbase_model:microsoft/layoutlmv2-base-uncasedbase_model:finetune:microsoft/layoutlmv2-base-uncasedlicense:cc-by-nc-sa-4.0endpoints_compatibleregion:us
Use layoutlmv2-base-uncased_finetuned_docvqa on Mixpeek
Build multimodal processing pipelines with this model and others. Extract features, run inference, and set up retrieval in Mixpeek Studio.
Open StudioHow It Runs on Mixpeek
On Mixpeek, layoutlmv2-base-uncased_finetuned_docvqa 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.
Explore on Mixpeek
Specification
OrganizationPrimWong
TaskDocument Question Answering
Librarytransformers
Licensecc-by-nc-sa-4.0
Downloads/mo4
View on HuggingFace
See model card, files, and community discussion