Project AURIONAI Use-Cases Research & Innovation
tabularfamily

TAPAS

Google model that answers questions over tables without generating logical forms, pre-trained on text and tables. Paper by Herzig et al. (2020).

GoogleGoogleUSA
Google
Levelfamily
Classtabular
Parametersnot in the notes
Contextnot in the notes
Released5 Apr 2020
Opennessopen weights permissive
Runs onnot in the notes
Statusactive

Lineage

GoogleTAPAS base fine-tuned on WTQ belongs to this familytabular2 Mar 2022
Where this comes from
Parent and child relations from model cards, Hugging Face base_model fields and the genealogy tables of the research notes. Confidence and evidence are the notes' own.

R&D Topics

Table question answeringexemplar

Identity

Developer
Google
Family
not in the notes
Released
5 Apr 2020 sourcesannouncement page
Weights published
–
Record checked
12 Oct 2026
Where this comes from
Developer and dates from the research notes. Release date is the vendor's public announcement; weights date is when open weights were published.

Architecture and Size

Architecture
dense transformer BERT-style encoder pre-trained jointly on text and tables
Total parameters
– sources
Active parameters
–
Checkpoint parameters
–
Context length
not in the notes
Input
table, text
Output
text
Where this comes from
Parameter counts as the developer states them. Where the checkpoint holds a different total, both are shown (register A16).

Openness and Access

Openness
open weights permissive
Licence
Apache License 2.0 sources
Access routes
open weights download
Where this comes from
The licence file governs over registry tags and aggregator labels.

Deployment

Runs on
not in the notes
Footprint
not in the notes
Runtimes
not in the notes
Where this comes from
Deployment tiers and runtimes as named in the notes. Footprint is the notes' figure, not a measurement by AURION.

Indonesia

Indonesian support
not stated
Regional languages
not in the notes
Jakarta hosting
unknown
Languages
not in the notes
Where this comes from
Indonesia fields are carried on every model; unknown is an allowed value.

Benchmark Results

The notes record no benchmark result for this model.

Industry Use Cases

No industry use case links this model.

Sources

  1. arxiv.org/abs/2004.02349 https://arxiv.org/abs/2004.02349
  2. github.com/google-research/tapas https://github.com/google-research/tapas
  3. huggingface.co/google/tapas-base-finetuned-wtq https://huggingface.co/google/tapas-base-finetuned-wtq
  4. modelscope.cn/models/google/tapas-base-finetuned-wtq https://www.modelscope.cn/models/google/tapas-base-finetuned-wtq

To cite this page: Project AURION, AI Use-Cases Research & Innovation, "TAPAS", https://aurion.semai.id/models/google-tapas/, records of October 2026.