Project AURIONAI Use-Cases Research & Innovation
vision

BiT (Big Transfer)

ResNetV2 models pretrained on large image datasets for transfer learning, from the paper "Big Transfer (BiT): General Visual Representation Learning".

GoogleGoogleUSA
Google
Levelmodel
Classvision
Parametersnot in the notes
Contextnot in the notes
Released24 Dec 2019
Opennessopen weights permissive
Runs onnot in the notes
Statusactive

R&D Topics

Image classification backbone architectures (CNN and vision transformer)produced by

Identity

Developer
Google
Family
not in the notes
Released
24 Dec 2019 sourcesannouncement page
Weights published
6 Dec 2022
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
CNN
Total parameters
– sources
Active parameters
–
Checkpoint parameters
–
Context length
not in the notes
Input
image
Output
not in the notes
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, cloud marketplace
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. arxiv.org/abs/1912.11370 https://arxiv.org/abs/1912.11370
  2. huggingface.co/google/bit-50 https://huggingface.co/google/bit-50
  3. jumpstart-cache-prod-us-west-2.s3.us-west-2.amazonaws.com/models_manifest.json https://jumpstart-cache-prod-us-west-2.s3.us-west-2.amazonaws.com/models_manifest.json
  4. modelzoo.co/model/big-transfer https://modelzoo.co/model/big-transfer
  5. github.com/google-research/big_transfer https://github.com/google-research/big_transfer
  6. kaggle.com/models/google/bit https://www.kaggle.com/models/google/bit
  7. kaggle.com/models/google/experts-bit https://www.kaggle.com/models/google/experts-bit

To cite this page: Project AURION, AI Use-Cases Research & Innovation, "BiT (Big Transfer)", https://aurion.semai.id/models/bit/, records of October 2026.