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Which model should I check to extract names and places from text?

Inspect BERT base NER records for token classification. Check the model card's language and label set before using it to extract names, places or organizations.

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License terms and download availability are separate. Read the exact upstream license before using a model.

Models or files
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Citation links
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Data links
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  1. dslim/bert-base-NER

    Model from Hugging Face: dslim/bert-base-NER

    License
    mit. Permissive open license: commercial use, modification, and redistribution are permitted. License details
    Hosting
    16 hosted files. Inspect the file record for current availability. 13 files listed upstream.
    Why listed
    This is one of the selected repositories: dslim/bert-base-NER. Recorded task: token classification. Listed formats: safetensors, onnx. Recorded license: mit. This listing does not measure quality or prove runtime support.

Page generated 2026-10-21. Catalog records may be cached or incomplete.

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https://huggingbay.xyz/answers/named-entity-recognition

Which model should I check to extract names and places from text?. Hugging Bay. https://huggingbay.xyz/answers/named-entity-recognition

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机器可读引用包 (machine-readable citations): citations.json · 中文指南: llms-zh.txt