owlvit-base-patch32 safetensors download | Hugging Bay

Q: What is this model?

google/owlvit-base-patch32 is a vision model for zero shot object detection published by google, added to Hugging Bay Jun 29, 2026. Model from Hugging Face for zero shot object detection: google/owlvit-base-patch32 · 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: 8 files, 1.23 GB. Full repo upstream: 1.23 GB. The recommended download, model.safetensors, is 613 MB.

Q: What can I download here?

Hosted here: 8 files, 1.23 GB. Full repo upstream: 1.23 GB. The original release is at https://huggingface.co/google/owlvit-base-patch32.

Q: File pattern scans

Automated file-pattern scans flagged nothing; not a safety guarantee. 8 hosted files carry a published SHA-256 you can re-hash. The machine-readable verdict is at /api/artifacts/hf-model-google-owlvit-base-patch32/safety on Hugging Bay.

Q: Will google/owlvit-base-patch32 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.

google

owlvit-base-patch32

google/owlvit-base-patch32

zero shot object detectionLicense: apache-2.0Hashes recordedsafetensors · BIN

Content controls: not assessed.

Model from Hugging Face for zero shot object detection: google/owlvit-base-patch32 · transformers

View as JSON →

8 hosted of 10 listed

Hashes recorded. Date not recorded.

File	Size	SHA-256	Source	Download
Weights
`model.safetensors` Default	613 MB	`4dbe0399…984ce52b` `4dbe0399f0b7d7c8dddf1535a98769cc30743bebc877aea681998c8d984ce52b`	Hosted	Download
`pytorch_model.bin`	613 MB	`02437334…26d5b531` `02437334ba11db56a312a6c3f0f351f610a1075751bfe36b689636a826d5b531`	Hosted	Download
Tokenizer & config
`config.json`	4.42 KB	`b5934e0d…ff7a9d7c` `b5934e0d2933194b8a85f93674e577feaa1a1ba2dc1d143b2d5e5305ff7a9d7c`	Hosted	Download
`merges.txt`	524.6 KB	`9fd691f7…e299051a` `9fd691f7c8039210e0fced15865466c65820d09b63988b0174bfe25de299051a`	Hosted	Download
`preprocessor_config.json`	392 bytes	`2010d320…f0e9bb6e` `2010d320cd2c68a8bb1de69aaa8f89daf173ef17cc22a30e4baf44b2f0e9bb6e`	Hosted	Download
`special_tokens_map.json`	460 bytes	`f118ab3a…53cdaab6` `f118ab3a983206e4f32583448de6bd6aae4ee21869135cef1f5848a753cdaab6`	Hosted	Download
`tokenizer_config.json`	775 bytes	`da35acee…106bfb6e` `da35aceebeda2adf44094a5867940b09379323b9390fa9197b57044e106bfb6e`	Hosted	Download
`vocab.json`	1.06 MB	—	Upstream only	File metadata
Docs
`.gitattributes`	1.23 KB	`400b270b…cf393ae2` `400b270bc8f5cb44fda65b1a4532ceca0fb452d0637425e861829560cf393ae2`	Upstream only	File metadata
`README.md`	5.15 KB	`a16c7074…25f236bf` `a16c707494da894773e85c1be976ae605a7b3a3ce92cf9ed277623dd25f236bf`	Hosted	Download

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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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owlvit-base-patch32

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