HoogBERTa safetensors download (575 MB) | Hugging Bay

Q: What is this model?

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

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, 578 MB. Full repo upstream: 1.15 GB. The recommended download, model.safetensors, is 574.6 MB.

Q: What can I download here?

Hosted here: 5 files, 578 MB. Full repo upstream: 1.15 GB. The original release is at https://huggingface.co/lst-nectec/HoogBERTa.

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-lst-nectec-hoogberta/safety on Hugging Bay.

Q: Will lst-nectec/HoogBERTa 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.

lst-nectec

HoogBERTa

lst-nectec/HoogBERTa

Model details

masked-language modelingLicense: mitSHA-256 recorded for 6 of 8 filessafetensors · BIN

Content controls: not assessed.

The catalog lists this model for filling in missing words in text. Catalog sources: license, cardMetadata.license, task, cardMetadata.pipelineTag.

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from urllib.request import urlretrieve

urlretrieve(
    "https://huggingbay.xyz/api/downloads/hf-model-lst-nectec-hoogberta/model.safetensors",
    "model.safetensors",
)

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5 hosted of 8 listed · Hashes recorded. Date not recorded.

Selected downloadmodel.safetensors575 MB · 1 file Download · 575 MB (1 file)

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