owlvit-base-patch32
google/owlvit-base-patch32Content controls: not assessed.
Model from Hugging Face for zero shot object detection: google/owlvit-base-patch32 · transformers
Informations sur le modèle
owlvit-base-patch32 is a vision model for zero shot object detection. The primary file is model.safetensors (613 MB). The primary file needs about 2 GB free for the selected file. License: Apache 2.0. The SHA-256 prefix is 4dbe0399f0b7. The primary Download is available now. No tested run commands for this file yet. See Files for current download availability. The size and hash details refer to the selected file, not every file in the repository. The memory figure is estimated from recorded file size with working room included.
Contenu inclus
8 hosted of 10 listed
À propos de ce modèle
External Hugging Face catalog record for google/owlvit-base-patch32. Task: zero shot object detection. Library: transformers. Popularity signal at import: 282,376 downloads and 150 likes.
Informations clés
- Hosted here
- 8 hosted of 10 listed
- Full repo upstream
- 1.23 GB
- Recommended file
- 613 MB · model.safetensors
- Format
- safetensors · BIN
- Downloads on Hugging Face
- 181,394
- File hashes
- Hashes recorded. Date not recorded.
Licence et source
License: apache-2.0
Check the license text and keep the required notices when you use or share the files.
Upstream source →- Task
- zero shot object detection
- Hosted here
- 8 files, 1.23 GB
- Full repo upstream
- 1.23 GB
- Recommended file
- 613 MB · model.safetensors
- Files
- 8 hosted of 10 listed
- Download
- Download here (8 hosted files)
- Added to Hugging Bay
- Updated at source
FAQ
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
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.
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.
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.
File checks and computer fit
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.
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.