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Sparse Transformer (ImageNet)
About Sparse Transformer (ImageNet)
Sparse Transformer (ImageNet) is an AI model developed by OpenAI, in the language category, released in 2019, made available as a proprietary (API-only) model with 0.2B params.
On this page you'll find Sparse Transformer (ImageNet)'s full specifications. Review provider pricing and benchmark scores below, or compare Sparse Transformer (ImageNet) head-to-head with other language models.
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Frequently asked questions
What is Sparse Transformer (ImageNet)? ▶
Sparse Transformer (ImageNet) is an AI model developed by OpenAI, in the language category, released in 2019. It is tracked on GenAIList with its specifications, benchmark scores and provider pricing.
Who created Sparse Transformer (ImageNet)? ▶
Sparse Transformer (ImageNet) was developed by OpenAI and released in 2019.
Is Sparse Transformer (ImageNet) open source or proprietary? ▶
Sparse Transformer (ImageNet) is a proprietary model. It is accessed through an API rather than by downloading the weights.
How much does Sparse Transformer (ImageNet) cost? ▶
Pricing for Sparse Transformer (ImageNet) depends on the provider. See the providers table on this page for the latest API rates.
How does Sparse Transformer (ImageNet) perform on benchmarks? ▶
Benchmark scores for Sparse Transformer (ImageNet) 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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