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PNASNet-5
About PNASNet-5
PNASNet-5 is an AI model developed by Johns Hopkins University, in the vision category, released in 2017, made available as a proprietary (API-only) model with 0.1B params.
On this page you'll find PNASNet-5's full specifications. Review provider pricing and benchmark scores below, or compare PNASNet-5 head-to-head with other vision models.
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Frequently asked questions
What is PNASNet-5? ▶
PNASNet-5 is an AI model developed by Johns Hopkins University, in the vision category, released in 2017. It is tracked on GenAIList with its specifications, benchmark scores and provider pricing.
Who created PNASNet-5? ▶
PNASNet-5 was developed by Johns Hopkins University and released in 2017.
Is PNASNet-5 open source or proprietary? ▶
PNASNet-5 is a proprietary model. It is accessed through an API rather than by downloading the weights.
How much does PNASNet-5 cost? ▶
Pricing for PNASNet-5 depends on the provider. See the providers table on this page for the latest API rates.
How does PNASNet-5 perform on benchmarks? ▶
Benchmark scores for PNASNet-5 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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