This is a BERT model fine-tuned specifically for token classification and named entity recognition tasks on Turkish text. It can be used via the Hugging Face Transformers library for extracting entities such as persons, organizations, and locations from Turkish documents.
In the Classification & entity recognition space, Bert Base Turkish Cased Ner takes a focused approach. It focuses on identifying named entities in Turkish text without training a model from scratch. It is built as an open-source project for developers. The project is open source (Open Source). It ships for the web and API.
It is developed by akdeniz27, and it first shipped in 2020. The project is developed in the open on GitHub with 578 stars.
Summary written by a language model from the project’s public pages.
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