TU
Tianjin University
Language model · United States ·Jun 2019

Tensorized Transformer (PTB)

Language Proprietary
12M
Parameters

About Tensorized Transformer (PTB)

Tensorized Transformer (PTB) is an AI model developed by Tianjin University, in the language category, released in 2019, made available as a proprietary (API-only) model with 0B params.

On this page you'll find Tensorized Transformer (PTB)'s full specifications. Review provider pricing and benchmark scores below, or compare Tensorized Transformer (PTB) head-to-head with other language models.

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Frequently asked questions

What is Tensorized Transformer (PTB)? ▶

Tensorized Transformer (PTB) is an AI model developed by Tianjin University, in the language category, released in 2019. It is tracked on GenAIList with its specifications, benchmark scores and provider pricing.

Who created Tensorized Transformer (PTB)? ▶

Tensorized Transformer (PTB) was developed by Tianjin University and released in 2019.

Is Tensorized Transformer (PTB) open source or proprietary? ▶

Tensorized Transformer (PTB) is a proprietary model. It is accessed through an API rather than by downloading the weights.

How much does Tensorized Transformer (PTB) cost? ▶

Pricing for Tensorized Transformer (PTB) depends on the provider. See the providers table on this page for the latest API rates.

How does Tensorized Transformer (PTB) perform on benchmarks? ▶

Benchmark scores for Tensorized Transformer (PTB) 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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