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OR-WideResNet
About OR-WideResNet
OR-WideResNet is an AI model developed by Duke University, in the vision category, released in 2017, made available as a proprietary (API-only) model with 0B params.
On this page you'll find OR-WideResNet's full specifications. Review provider pricing and benchmark scores below, or compare OR-WideResNet head-to-head with other vision models.
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Frequently asked questions
What is OR-WideResNet? ▶
OR-WideResNet is an AI model developed by Duke University, in the vision category, released in 2017. It is tracked on GenAIList with its specifications, benchmark scores and provider pricing.
Who created OR-WideResNet? ▶
OR-WideResNet was developed by Duke University and released in 2017.
Is OR-WideResNet open source or proprietary? ▶
OR-WideResNet is a proprietary model. It is accessed through an API rather than by downloading the weights.
How much does OR-WideResNet cost? ▶
Pricing for OR-WideResNet depends on the provider. See the providers table on this page for the latest API rates.
How does OR-WideResNet perform on benchmarks? ▶
Benchmark scores for OR-WideResNet 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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