bert-base-uncased-squad2 safetensors download | Hugging Bay

Q: What is this model?

deepset/bert-base-uncased-squad2 is an open-weights language model for question answering published by deepset, added to Hugging Bay Jun 30, 2026. Model from Hugging Face for question answering: deepset/bert-base-uncased-squad2 · transformers

Q: Can I use it commercially?

It is released under the cc-by-4.0 license. Commercial use is allowed. cc-by-4.0: commercial use, modification, and redistribution are permitted with attribution.

Q: How big is it?

Hosted here: at least 5 listed files; full count and size unknown. Full repo upstream: 872 MB. The recommended download, model.safetensors, is 435.6 MB.

Q: What can I download here?

Hosted here: at least 5 listed files; full count and size unknown. Full repo upstream: 872 MB. The original release is at https://huggingface.co/deepset/bert-base-uncased-squad2.

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-deepset-bert-base-uncased-squad2/safety on Hugging Bay.

Q: Will deepset/bert-base-uncased-squad2 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.

deepset

bert-base-uncased-squad2

deepset/bert-base-uncased-squad2

Model details

question answeringLicense: cc-by-4.0SHA-256 recorded for 6 of 9 filessafetensors · BIN

Content controls: not assessed.

The catalog lists this model for answering questions. Catalog sources: license, cardMetadata.license, task, cardMetadata.pipelineTag.

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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-deepset-bert-base-uncased-squad2/model.safetensors",
    "model.safetensors",
)

Other ways

This file cannot open in the app. The app supports one GGUF file at a time.

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5 hosted of 9 listed · Hashes recorded. Date not recorded.

Selected downloadmodel.safetensors436 MB · 1 file Download · 436 MB (1 file)

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

5 hosted of 9 listed

Hashes recorded. Date not recorded.

File	Size	SHA-256	Source	Download
Weights
`model.safetensors` Default	435.6 MB	`e5c51ef6…50f1f451` `e5c51ef6e3fd67dbe1b18e309a43a34c939ee9f3fa104a785ba859fb50f1f451`	Hosted	Download
`pytorch_model.bin`	435.7 MB	`b145e4c0…8b5b135d` `b145e4c095df00c76a143eda3ff20c1751194b3e0471af604154fda08b5b135d`	Upstream only	File metadata
Tokenizer & config
`config.json`	693 bytes	`27e42090…0aafabef` `27e42090e64e7161f2c4142f5c62de0a266e2ae1ab11e3343086e9ad0aafabef`	Hosted	Download
`tokenizer.json`	466.1 KB	`5fd1c882…d9de550b` `5fd1c882abbd30517dced455a2c9768945ec726b96727927e4959348d9de550b`	Hosted	Download
`tokenizer_config.json`	302 bytes	`f261c313…653d0622` `f261c3131dbb7caa39ae2b01a200734cbdcbab4a2e73c2bff7aa2e3b653d0622`	Hosted	Download
`vocab.txt`	231.5 KB	—	Upstream only	File metadata
`special_tokens_map.json`	112 bytes	`303df45a…5ec200e3` `303df45a03609e4ead04bc3dc1536d0ab19b5358db685b6f3da123d05ec200e3`	Hosted	Download
Docs
`.gitattributes`	1.23 KB	—	Upstream only	File metadata
`README.md`	5.71 KB	—	Upstream only	File metadata

Check a download

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

macOS

shasum -a 256 -- 'model.safetensors'

Linux

sha256sum -- 'model.safetensors'

Windows

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

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bert-base-uncased-squad2

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