Project AURIONAI Use-Cases Research & Innovation
tabular

TAPAS base fine-tuned on WTQ

TAPAS base checkpoint fine-tuned in a chain on SQA, WikiSQL and WikiTable Questions for table question answering.

GoogleGoogleUSATAPASFamily
Google
Levelvariant
Classtabular
Parametersnot in the notes
Contextnot in the notes
Released2 Mar 2022
Opennessopen weights permissive
Runs onnot in the notes
Statusactive

R&D Topics

Table question answeringproduced by

Identity

Developer
Google
Family
TAPAS
Released
2 Mar 2022 sourcesregistry date
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
Total parameters
– sources
Active parameters
–
Checkpoint parameters
–
Note
A large version (google/tapas-large-finetuned-wtq) and other sizes and tasks are also published.
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.

Lineage

The notes record no lineage for this model.

Industry Use Cases

No industry use case links this model.

Sources

  1. huggingface.co/google/tapas-base-finetuned-wtq https://huggingface.co/google/tapas-base-finetuned-wtq
  2. huggingface.co/api/models?pipeline_tag=table-question-answer... https://huggingface.co/api/models?pipeline_tag=table-question-answering&sort=downloads&limit=50

To cite this page: Project AURION, AI Use-Cases Research & Innovation, "TAPAS Base Fine-Tuned on WTQ", https://aurion.semai.id/models/google-tapas-base-finetuned-wtq/, records of October 2026.