bert-base-NER safetensors download (433 MB) | Hugging Bay

Q: What is this model?

dslim/bert-base-NER is an open-weights language model for token classification published by dslim, added to Hugging Bay Jun 29, 2026. Model from Hugging Face: dslim/bert-base-NER

Q: Can I use it commercially?

It is released under the mit license. Commercial use is allowed. Permissive open license: commercial use, modification, and redistribution are permitted.

Q: How big is it?

Hosted here: at least 16 listed files; full count and size unknown. Full repo upstream: 2.16 GB. The recommended download, model.safetensors, is 433.3 MB.

Q: What can I download here?

Hosted here: at least 16 listed files; full count and size unknown. Full repo upstream: 2.16 GB. The original release is at https://huggingface.co/dslim/bert-base-NER.

Q: File pattern scans

Automated file-pattern scans flagged nothing; not a safety guarantee. 16 hosted files carry a published SHA-256 you can re-hash. The machine-readable verdict is at /api/artifacts/hf-model-dslim-bert-base-ner/safety on Hugging Bay.

Q: Will dslim/bert-base-NER run on my computer?

We can’t check the fit; we don’t know your machine. We don’t have your machine’s specs, so no check ran and no verdict is shown. Answer two quick questions and we’ll estimate, from the memory you tell us, whether it fits your machine. Or skip it; you can still download; fit isn’t checked.

dslim

bert-base-NER

dslim/bert-base-NER

Model details

token classificationLicense: mitHashes recordedsafetensors · ONNX · BIN · H5

Content controls: not assessed.

The catalog lists this model for labeling parts of text. Catalog sources: license, task.

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This Python snippet downloads the selected file. Running the model needs its own library and setup.

from urllib.request import urlretrieve

urlretrieve(
    "https://huggingbay.xyz/api/downloads/hf-model-dslim-bert-base-ner/model.safetensors",
    "model.safetensors",
)

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16 hosted of 18 listed · Hashes recorded. Date not recorded.

Selected downloadmodel.safetensors433 MB · 1 file Download · 433 MB (1 file)

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