roberta-large-squad2 safetensors download | Hugging Bay

Q: What is this model?

deepset/roberta-large-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/roberta-large-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 6 listed files; full count and size unknown. Full repo upstream: 4.25 GB. The recommended download, model.safetensors, is 1.42 GB.

Q: What can I download here?

Hosted here: at least 6 listed files; full count and size unknown. Full repo upstream: 4.25 GB. The original release is at https://huggingface.co/deepset/roberta-large-squad2.

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-deepset-roberta-large-squad2/safety on Hugging Bay.

Q: Will deepset/roberta-large-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

roberta-large-squad2

deepset/roberta-large-squad2

Model details

question answeringLicense: cc-by-4.0Hashes recordedsafetensors · BIN

Content controls: not assessed.

Listed for answering questions; for developers building question answering tools. Catalog sources: license, cardMetadata.license, task, cardMetadata.pipelineTag.

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-deepset-roberta-large-squad2/model.safetensors",
    "model.safetensors",
)

Other ways

6 hosted of 10 listed · Hashes recorded. Date not recorded.

Selected downloadmodel.safetensors1.42 GB · 1 file Download · 1.42 GB (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 10 listed

Hashes recorded. Date not recorded.

File	Tamanho	SHA-256	Origem	Baixar
Weights
`model.safetensors` Default	1.42 GB	`63ff07ec…a54ee708` `63ff07ecdc769a0a44051e261492f0e6b7827711aa723560d4435236a54ee708`	Hosted	Baixar
`pytorch_model.bin`	1.42 GB	`f0a98cec…09f90fc5` `f0a98cec67b9022abbcc667656745dd04a87e2c56d07d8f5175df22b09f90fc5`	Upstream only	File metadata
Tokenizer & config
`config.json`	696 bytes	`edf4c5d8…b2634c75` `edf4c5d8b8b263deb333759d960cdb60f30010f4c38fd9c79836b4a3b2634c75`	Hosted	Baixar
`flax_model.msgpack`	1.42 GB	`17d19dd0…a553b0cd` `17d19dd0f99103b4278204f0b76f680e8ae6be57586ead9c5e4291d1a553b0cd`	Upstream only	File metadata
`merges.txt`	456.4 KB	`fe36cab2…82a95862` `fe36cab26d4f4421ed725e10a2e9ddb7f799449c603a96e7f29b5a3c82a95862`	Hosted	Baixar
`tokenizer_config.json`	1.19 KB	`ce3be704…65a11031` `ce3be704b2b7dab64ec8b98abb9996d3dcbe8a845b24520d381d17a765a11031`	Hosted	Baixar
`vocab.json`	798.3 KB	`ed19656e…3670ab5e` `ed19656ea1707df69134c4af35c8ceda2cc9860bf2c3495026153a133670ab5e`	Hosted	Baixar
`special_tokens_map.json`	239 bytes	`378eb3bf…22ae554d` `378eb3bf733eb16e65792d7e3fda5b8a4631387ca04d2015199c4d4f22ae554d`	Hosted	Baixar
Docs
`.gitattributes`	790 bytes	—	Upstream only	File metadata
`README.md`	7.67 KB	—	Upstream only	File metadata

Verificar um 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

Compare the result with the recorded SHA-256.

roberta-large-squad2

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