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Gherman/bert-base-NER-Russian

Token Classification·Gherman· 163.4K· 24
transformers mit Token Classification 177.3M params base_model:google-bert/bert-base-multilingual-casedbase_model:finetune:google-bert/bert-base-multilingual-casedlicense:mitregion:us

This model is a fine-tuned version of bert-base-multilingual-cased for Named Entity Recognition (NER) in Russian text. It can identify various entity types such as person first names, middle names, last names, cities, districts, etc using the BIOLU tagging format.

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pip install mlforge-sdk && mlforge pull Gherman/bert-base-NER-Russian

Model details

Task
Token Classification
Provider
Gherman
Framework
transformers
Parameters
177.3M
Size
2.0 GB
License
mit
Downloads
163.4K
Likes
24
Updated
2025-12-16

About Gherman/bert-base-NER-Russian

This model is a fine-tuned version of bert-base-multilingual-cased for Named Entity Recognition (NER) in Russian text. It can identify various entity types such as person first names, middle names, last names, cities, districts, etc using the BIOLU tagging format.

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