SecBERT safetensors download (336 MB) | Hugging Bay

Q: What is this model?

jackaduma/SecBERT is an open-weights language model for masked-language modeling published by jackaduma, added to Hugging Bay Jun 29, 2026. Model from Hugging Face for fill mask: jackaduma/SecBERT · transformers

Q: Can I use it commercially?

It is released under the apache-2.0 license. Commercial use is allowed. Permissive open license: commercial use, modification, and redistribution are permitted.

Q: How big is it?

Hosted here: 6 files, 673.3 MB. Full repo upstream: 673.3 MB. The recommended download, model.safetensors, is 336.4 MB.

Q: What can I download here?

Hosted here: 6 files, 673.3 MB. Full repo upstream: 673.3 MB. The original release is at https://huggingface.co/jackaduma/SecBERT.

Q: File pattern scans

Automated file-pattern scans flagged nothing; not a safety guarantee. 6 hosted files carry a published SHA-256 you can re-hash. The machine-readable verdict is at /api/artifacts/hf-model-jackaduma-secbert/safety on Hugging Bay.

Q: Will jackaduma/SecBERT 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.

jackaduma

SecBERT

jackaduma/SecBERT

Model details

masked-language modelingLicense: apache-2.0Hashes recordedsafetensors · BIN

Content controls: not assessed.

Model from Hugging Face for fill mask: jackaduma/SecBERT · transformers

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from urllib.request import urlretrieve

urlretrieve(
    "https://huggingbay.xyz/api/downloads/hf-model-jackaduma-secbert/model.safetensors",
    "model.safetensors",
)

Other ways

6 hosted of 7 listed · Hashes recorded. Date not recorded.

Selected downloadmodel.safetensors336 MB · 1 file Download · 336 MB (1 file)

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