SecureBERT2.0-code-vuln-detection download | Hugging Bay

Q: What is this model?

cisco-ai/SecureBERT2.0-code-vuln-detection is an open-weights language model for text classification published by cisco-ai, added to Hugging Bay Jun 30, 2026. Model from Hugging Face: cisco-ai/SecureBERT2.0-code-vuln-detection

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: at least 6 listed files; full count and size unknown. The full repository size is not recorded. The recommended download, model.safetensors, is 598.4 MB.

Q: What can I download here?

Hosted here: at least 6 listed files; full count and size unknown. Full repo upstream: unknown. The original release is at https://huggingface.co/cisco-ai/SecureBERT2.0-code-vuln-detection.

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-cisco-ai-securebert2-0-code-vuln-detection/safety on Hugging Bay.

Q: Will cisco-ai/SecureBERT2.0-code-vuln-detection 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.

cisco-ai

SecureBERT2.0-code-vuln-detection

cisco-ai/SecureBERT2.0-code-vuln-detection

Model details

text classificationLicense: apache-2.0Hashes recordedsafetensors

Content controls: not assessed.

Listed for labeling text; for developers building text classifiers. Catalog sources: license, task.

View as JSON →

Your next step

Use it from code

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-cisco-ai-securebert2-0-code-vuln-detection/model.safetensors",
    "model.safetensors",
)

Other ways

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

Selected downloadmodel.safetensors598 MB · 1 file Download · 598 MB (1 file)

Open-file help

Content controls: not assessed.

Check your download →

Compare your file’s SHA-256 with the recorded hash.

Signed by the harbor

6 hosted of 7 listed

Hashes recorded. Date not recorded.

File	Size	SHA-256	Source	Download
Weights
`model.safetensors` Default	598.4 MB	`7bbd2f10…376e943f` `7bbd2f1085934d13f8921f0e2f09b4984717de61f8e796b931de2748376e943f`	Hosted	Download
Tokenizer & config
`config.json`	1.23 KB	`6d0d7d2c…b02d07de` `6d0d7d2cb9f73e7805bd99452fe4e9da9bcd23a287f84e64a2ae0bd8b02d07de`	Hosted	Download
`tokenizer_config.json`	20.8 KB	`c16f1b07…3f96c2eb` `c16f1b07f93d05be753ec0acf8cb511d895a8bdb09669f6b156df81e3f96c2eb`	Hosted	Download
`special_tokens_map.json`	694 bytes	`ea97ecdb…1be81049` `ea97ecdbcc73713039d8d64dbb05e3689495c96657fbd9a18f5bed381be81049`	Hosted	Download
`tokenizer.json`	3.58 MB	`6c8aaa9a…c3c08d30` `6c8aaa9a542084f2457eab775d4eeb51f92a70c0fd9de28d5edb0ddec3c08d30`	Hosted	Download
Docs
`README.md`	6.5 KB	`c46afc4d…de4d2d7e` `c46afc4dcc8470f5745227960c10a10338835464679ec19e62b38bfdde4d2d7e`	Hosted	Download
`.gitattributes`	0 bytes	—	Upstream only	File metadata

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In the folder where you saved model.safetensors, run:

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shasum -a 256 -- 'model.safetensors'

Linux

sha256sum -- 'model.safetensors'

Windows

Get-FileHash -LiteralPath 'model.safetensors' -Algorithm SHA256

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SecureBERT2.0-code-vuln-detection

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