CM
Carnegie Mellon University (CMU)
Language model · United States ·Mar 2016

Named Entity Recognition model

Language Proprietary

About Named Entity Recognition model

Named Entity Recognition model is an AI model developed by Carnegie Mellon University (CMU), in the language category, released in 2016, made available as a proprietary (API-only) model.

On this page you'll find Named Entity Recognition model's full specifications. Review provider pricing and benchmark scores below, or compare Named Entity Recognition model head-to-head with other language models.

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Frequently asked questions

What is Named Entity Recognition model? ▶

Named Entity Recognition model is an AI model developed by Carnegie Mellon University (CMU), in the language category, released in 2016. It is tracked on GenAIList with its specifications, benchmark scores and provider pricing.

Who created Named Entity Recognition model? ▶

Named Entity Recognition model was developed by Carnegie Mellon University (CMU) and released in 2016.

Is Named Entity Recognition model open source or proprietary? ▶

Named Entity Recognition model is a proprietary model. It is accessed through an API rather than by downloading the weights.

How much does Named Entity Recognition model cost? ▶

Pricing for Named Entity Recognition model depends on the provider. See the providers table on this page for the latest API rates.

How does Named Entity Recognition model perform on benchmarks? ▶

Benchmark scores for Named Entity Recognition model 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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