xlm-roberta-base-squad2 safetensors download | Hugging Bay

Q: What is this model?

deepset/xlm-roberta-base-squad2 is an open-weights language model for question answering published by deepset, added to Hugging Bay Jun 29, 2026. Model from Hugging Face for question answering: deepset/xlm-roberta-base-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: 5 files, 1.11 GB. Full repo upstream: 2.22 GB. The recommended download, model.safetensors, is 1.11 GB.

Q: What can I download here?

Hosted here: 5 files, 1.11 GB. Full repo upstream: 2.22 GB. The original release is at https://huggingface.co/deepset/xlm-roberta-base-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-xlm-roberta-base-squad2/safety on Hugging Bay.

Q: Will deepset/xlm-roberta-base-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

xlm-roberta-base-squad2

deepset/xlm-roberta-base-squad2

Model details

question answeringLicense: cc-by-4.0SHA-256 recorded for 6 of 8 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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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-xlm-roberta-base-squad2/model.safetensors",
    "model.safetensors",
)

Other ways

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

Selected downloadmodel.safetensors1.11 GB · 1 file Download · 1.11 GB (1 file)

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

5 hosted of 8 listed

Hashes recorded. Date not recorded.

File	Size	SHA-256	Source	Download
Weights
`model.safetensors` Default	1.11 GB	`b3b39538…8f883dd1` `b3b3953828b8bc7794dc785ab29fb35d1efc988531633dd7bcf871728f883dd1`	Hosted	Download
`pytorch_model.bin`	1.11 GB	`faeaac92…836025bd` `faeaac92ea0e658d5f7a34a8cc42280a2261e500c647cffb37cee7e3836025bd`	Upstream only	File metadata
Tokenizer & config
`config.json`	605 bytes	`ca7df357…8f931bda` `ca7df357689e66661e1ca8011eeea04d9981114e8f4989e8b89f79b78f931bda`	Hosted	Download
`sentencepiece.bpe.model`	5.07 MB	`cfc8146a…e0db2865` `cfc8146abe2a0488e9e2a0c56de7952f7c11ab059eca145a0a727afce0db2865`	Hosted	Download
`special_tokens_map.json`	150 bytes	`7638f5bb…e8da1150` `7638f5bbbe86ef6d604ef28ad3647dc690d6d117c81c0d63e885416be8da1150`	Hosted	Download
`tokenizer_config.json`	79 bytes	`7a33226d…97cba556` `7a33226d4265e3989cc6341666af179d0cc710136f4059aae0dd8c0797cba556`	Hosted	Download
Docs
`.gitattributes`	513 bytes	—	Upstream only	File metadata
`README.md`	6.19 KB	—	Upstream only	File metadata

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

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shasum -a 256 -- 'model.safetensors'

Linux

sha256sum -- 'model.safetensors'

Windows

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

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xlm-roberta-base-squad2

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