KA
Kakao
Vision model · South Korea ·Mar 2022

RQ-Transformer (3.8B params ImageNet dataset)

Vision Proprietary
3.8B
Parameters

About RQ-Transformer (3.8B params ImageNet dataset)

RQ-Transformer (3.8B params ImageNet dataset) is an AI model developed by Kakao, in the vision category, released in 2022, made available as a proprietary (API-only) model with 3.8B params.

On this page you'll find RQ-Transformer (3.8B params ImageNet dataset)'s full specifications. Review provider pricing and benchmark scores below, or compare RQ-Transformer (3.8B params ImageNet dataset) head-to-head with other vision models.

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Frequently asked questions

What is RQ-Transformer (3.8B params ImageNet dataset)? ▶

RQ-Transformer (3.8B params ImageNet dataset) is an AI model developed by Kakao, in the vision category, released in 2022. It is tracked on GenAIList with its specifications, benchmark scores and provider pricing.

Who created RQ-Transformer (3.8B params ImageNet dataset)? ▶

RQ-Transformer (3.8B params ImageNet dataset) was developed by Kakao and released in 2022.

Is RQ-Transformer (3.8B params ImageNet dataset) open source or proprietary? ▶

RQ-Transformer (3.8B params ImageNet dataset) is a proprietary model. It is accessed through an API rather than by downloading the weights.

How much does RQ-Transformer (3.8B params ImageNet dataset) cost? ▶

Pricing for RQ-Transformer (3.8B params ImageNet dataset) depends on the provider. See the providers table on this page for the latest API rates.

How does RQ-Transformer (3.8B params ImageNet dataset) perform on benchmarks? ▶

Benchmark scores for RQ-Transformer (3.8B params ImageNet dataset) are listed on this page as they are published. You can compare it head-to-head with other models on the GenAIList compare tool.

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