distilbert-finetuned-squadv2 download | Hugging Bay

Q: What is this model?

kienchan/distilbert-finetuned-squadv2 is an open-weights language model for question answering published by kienchan, added to Hugging Bay Sep 25, 2026. Model from Hugging Face for question answering: kienchan/distilbert-finetuned-squadv2 · transformers

Q: Can I use it commercially?

It is released under the apache-2.0 license. Commercial use is allowed. Permissive open license: commercial use, modification, and redistribution are permitted.

Q: How big is it?

Hosted here: 4 files, 266.2 MB. Full repo upstream: 266.2 MB. The recommended download, model.safetensors, is 265.5 MB.

Q: What can I download here?

Hosted here: 4 files, 266.2 MB. Full repo upstream: 266.2 MB. The original release is at https://huggingface.co/kienchan/distilbert-finetuned-squadv2.

Q: File pattern scans

Automated file-pattern scans flagged nothing; not a safety guarantee. 4 hosted files carry a published SHA-256 you can re-hash. The machine-readable verdict is at /api/artifacts/hf-model-kienchan-distilbert-finetuned-squadv2/safety on Hugging Bay.

Q: Will kienchan/distilbert-finetuned-squadv2 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.

kienchan

distilbert-finetuned-squadv2

kienchan/distilbert-finetuned-squadv2

question answeringLicense: apache-2.0Hashes recordedsafetensors · BIN

Content controls: not assessed.

Model from Hugging Face for question answering: kienchan/distilbert-finetuned-squadv2 · transformers

View as JSON →

4 hosted of 7 listed

Hashes recorded. Date not recorded.

File	Taille	SHA-256	Source	Télécharger
Weights
`model.safetensors` Default	265.5 MB	`88d9a7e2…5c13086f` `88d9a7e24b6147ac5d45e72f4374fb9e49209a74b04dc415e2912b545c13086f`	Hosted	Télécharger
`training_args.bin`	5.2 KB	`eb9af082…64e981ac` `eb9af082ffbb5cb8c39c57012c92ac1f788e269384364859f253c82764e981ac`	Upstream only	File metadata
Tokenizer & config
`config.json`	610 bytes	`b74bf30f…7b5232f8` `b74bf30fd7a0d963d0c0c20fcba87a14605a80772bffda0888628e8c7b5232f8`	Hosted	Télécharger
`tokenizer.json`	711.7 KB	`88288f3b…8e34889e` `88288f3bbc81d03d5cc31434d30f8bd3c80771c9875a75fa763d167a8e34889e`	Hosted	Télécharger
`tokenizer_config.json`	351 bytes	`e1c2a61a…3e177ffd` `e1c2a61a99bda00f6c55303a210b30e2f92dcf8b555e215812e2eb583e177ffd`	Hosted	Télécharger
Docs
`.gitattributes`	1.52 KB	—	Upstream only	File metadata
`README.md`	1.25 KB	—	Upstream only	File metadata

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

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Linux

sha256sum -- 'model.safetensors'

Windows

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

Compare the result with the recorded SHA-256.

distilbert-finetuned-squadv2

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