This open model performs multilingual named entity recognition through token classification. Developers can run it with Transformers and related runtimes, or deploy it through supported inference providers for NLP applications.
Bert Base Multilingual Cased Ner Hrl sits in PulseGate's Other AI category. It focuses on identifying and classifying named entities in multilingual text. It is built as an open-source project for NLP developers and machine learning researchers. The project is open source (Open Source). Bert Base Multilingual Cased Ner Hrl is available on the web and API, and it can be self-hosted.
It is developed by Davlan, and it first shipped in 2015. The project is developed in the open on GitHub with 173 stars. Key capabilities include named entity recognition, token classification, and multilingual text.
Summary written by a language model from the project’s public pages.
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