bert-base-arabertv2 safetensors download | Hugging Bay

Q: What is this model?

aubmindlab/bert-base-arabertv2 is an open-weights language model for masked-language modeling published by aubmindlab, added to Hugging Bay Sep 21, 2026. Model from Hugging Face for fill mask: aubmindlab/bert-base-arabertv2 · transformers

Q: Can I use it commercially?

License: unknown. Check the upstream license text or ask the model author before commercial use.

Q: How big is it?

Hosted here: at least 5 listed files; full count and size unknown. Full repo upstream: 2.88 GB. The recommended download, model.safetensors, is 543.4 MB.

Q: What can I download here?

Hosted here: at least 5 listed files; full count and size unknown. Full repo upstream: 2.88 GB.

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-aubmindlab-bert-base-arabertv2/safety on Hugging Bay.

Q: Will aubmindlab/bert-base-arabertv2 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.

aubmindlab

bert-base-arabertv2

aubmindlab/bert-base-arabertv2

Model details

masked-language modelingLicense: unknownSHA-256 recorded for 9 of 12 filessafetensors · BIN · H5

Content controls: not assessed.

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

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from urllib.request import urlretrieve

urlretrieve(
    "https://huggingbay.xyz/api/downloads/hf-model-aubmindlab-bert-base-arabertv2/model.safetensors",
    "model.safetensors",
)

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5 hosted of 12 listed · Hashes recorded. Date not recorded.

Selected downloadmodel.safetensors543 MB · 1 file Download · 543 MB (1 file)

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