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PulseGateDBDonut Base Finetuned Docvqa
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Donut Base Finetuned Docvqa

huggingface.co·Infrastructure

donut-base-finetuned-docvqa is a fine-tuned version of the Donut model specialized for document visual question answering. It understands document images and answers questions directly from visual content. The model is available on Hugging Face with Transformers integration for developers building document intelligence applications.

Open SourceMITWebAPI
DDonut Base Finetuned Docvqa preview
Visit huggingface.co↗
6.9kstars
565forks
1alternative
3features
2022since

Overview

3 features

Donut Base Finetuned Docvqa sits in PulseGate's Foundation models & chat category. It focuses on answering questions about document images without manual OCR or data extraction. It is built as an open-source project for developers. The project is open source (MIT). Donut Base Finetuned Docvqa is available on the web and API.

It is developed by NAVER Clova, and it first shipped in 2022. The project is developed in the open on GitHub with 6.9k stars. Key capabilities include Document QA, Visual Question Answering, and Transformers Compatible.

Summary written by a language model from the project’s public pages.

  • ✓Document QA
  • ✓Visual Question Answering
  • ✓Transformers Compatible
Tags
document-qavisual-qadonut-model
AI capabilities
Multimodal
Inference: LocalWeights: Open

Built with & integrations

Hosting
AWS
AI providers
local_oss
Runs on
BrowserAPI-only
Detected from
AWS
x-amz-cf-id header · x-amz-cf-pop header · via header
local_oss
huggingface in the HTML

Trust & compliance

License
MIT
Verified signals
✓HTTPS✓Privacy Policy✓Terms of Service✓Open Source
Legal
Privacy Policy →Terms of Service →

Indexing history

1

What PulseGate has recorded for this listing

  1. Indexed28 Jul · 00:58 UTC
    naver-clova-ix/donut-base-finetuned-docvqa verified against its public source
    Source: PulseGate · Open ↗

Frequently asked questions about Donut Base Finetuned Docvqa

What is Donut Base Finetuned Docvqa?
Donut Base Finetuned Docvqa focuses on answering questions about document images without manual OCR or data extraction. It is catalogued under Foundation models & chat on PulseGate.
Who should use Donut Base Finetuned Docvqa?
Donut Base Finetuned Docvqa is an open-source project built for developers.
Is Donut Base Finetuned Docvqa free?
Yes — Donut Base Finetuned Docvqa is open source under the MIT license and free to use.
What platforms does Donut Base Finetuned Docvqa run on?
Donut Base Finetuned Docvqa runs on the web and API.
Is Donut Base Finetuned Docvqa still active?
Unverified. Donut Base Finetuned Docvqa has not been re-checked since it entered the index, so there is no finding either way — and only a positive finding would say otherwise.
Who develops Donut Base Finetuned Docvqa?
Donut Base Finetuned Docvqa is developed by NAVER Clova.
How long has Donut Base Finetuned Docvqa been around?
Donut Base Finetuned Docvqa first shipped in 2022.
Is Donut Base Finetuned Docvqa open source?
Yes — Donut Base Finetuned Docvqa is open source under the MIT license.

At a glance

Pricing
Open Source
Platforms
Web
Languages
English
License
MIT
Built for
developers
Model
Open source
Solves
Answering questions about document images without manual OCR or data extraction.

Registered as

Hugging Face
naver-clova-ix/donut-base-finetuned-docvqa

Developer

NAVER Clova
Team

Open source

Stars
6,911
Forks
565
Open issues
211
Last commit
11 Jul 2024
Commits 90d
0
Contributors
9
Authorship
Team
Default branch
master
Latest release
1.0.9 · 14 Nov 2022

Live coverage

Identity confidence
Medium · 70.4
Indexed
28 Jul 2026
Lifecycle
Alive
Last seen
28 Jul 2026
Identity audit (13)
Slug
naver-clova-ix-donut-base-finetuned-docvqa-huggingface-co
Lifecycle state recorded
28 Jul 2026
Verification state
Indexed for public listing
Listing state
Listed: yes
Index status
Included in index
Latest evidence snapshot
28 Jul 2026
Timeline basis
Indexed-at chronology. This listing's first-seen date was written by the catalog backfill, not observed here, so it is not treated as a sighting.
Name from
Derived from the project's own page and URL.
Category from
Derived from the model's own Hugging Face metadata.
Summary from
Written by a language model from public pages.
Languages from
Detected by a language model from page content.
Last updated
28 Jul 2026
Canonical URL
https://huggingface.co/naver-clova-ix/donut-base-finetuned-docvqa

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