PortBERT_base safetensors download (504 MB) | Hugging Bay

Q: What is this model?

PortBERT/PortBERT_base is an open-weights language model for masked-language modeling published by PortBERT, added to Hugging Bay Jun 30, 2026. Model from Hugging Face for fill mask: PortBERT/PortBERT_base · pytorch

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: 5 files, 505.7 MB. Full repo upstream: 1.01 GB. The recommended download, model.safetensors, is 504.2 MB.

Q: What can I download here?

Hosted here: 5 files, 505.7 MB. Full repo upstream: 1.01 GB. The original release is at https://huggingface.co/PortBERT/PortBERT_base.

Q: File pattern scans

Automated file-pattern scans flagged nothing; not a safety guarantee. 5 hosted files carry a published SHA-256 you can re-hash. The machine-readable verdict is at /api/artifacts/hf-model-portbert-portbert-base/safety on Hugging Bay.

Q: Will PortBERT/PortBERT_base 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.

PortBERT

PortBERT_base

PortBERT/PortBERT_base

masked-language modelingLicense: mitHashes recordedsafetensors · BIN

Content controls: not assessed.

Model from Hugging Face for fill mask: PortBERT/PortBERT_base · pytorch

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Machine-readable artifact endpoints

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PortBERT_base

Machine-readable artifact endpoints

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