tabular
TAPEX base fine-tuned on WikiSQL
Base-size TAPEX checkpoint fine-tuned on WikiSQL for table question answering.
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
Identity
- Developer
- Microsoft AI
- Family
- TAPEX
- 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
- tapex-large and other fine-tunes 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
- MIT License 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.
Links
DeveloperMicrosoft AIbig tech, USA
Microsoft AIbig tech, USAModelTAPEX base fine-tuned on WikiSQLMicrosoft AI, tabular
TAPEX base fine-tuned on WikiSQLMicrosoft AI, tabularR&D TopicsTable Question Answering
Use Casesnone recorded
Who Runs Itnone recorded
Models 1
Organisations 1
Sources
- huggingface.co/microsoft/tapex-base-finetuned-wikisql https://huggingface.co/microsoft/tapex-base-finetuned-wikisql
- 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, "TAPEX Base Fine-Tuned on WikiSQL", https://aurion.semai.id/models/microsoft-tapex-base-finetuned-wikisql/, records of October 2026.