196dl/month
18likes
Identifier
Model ID
Xenova/donut-base-finetuned-docvqaTags
transformers.jsonnxvision-encoder-decoderimage-text-to-textdonutimage-to-textvisiondonut-swindocument-question-answeringbase_model:naver-clova-ix/donut-base-finetuned-docvqabase_model:quantized:naver-clova-ix/donut-base-finetuned-docvqaregion:us
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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, donut-base-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.
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Specification
OrganizationXenova
TaskDocument Question Answering
Librarytransformers.js
Downloads/mo196
Likes18
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