owlv2-base-patch16-ensemble
Can I run owlv2-base-patch16-ensemble on my computer?
It depends on your memory, processor, file format and runtime. Hugging Bay offers 9 hosted files; check the file list for the exact selection. A file-size fit is an estimate, not a successful run or speed promise. Read the license before use.
owlv2-base-patch16-ensemble is a vision model for zero shot object detection. Model weights are learned parameters; a runtime loads them. A hosted file is an individual file Hugging Bay can serve. SHA-256 identifies exact file bytes. The availability date above applies to this file record, not the upstream metadata update date.
As of the recorded file availability check on .
Recorded SHA-256 for model.safetensors: e1e130b9e404cf91a75ad45644c1da9d7fa5284085eecc864266a6923efb99e7. Exact file evidence · Machine-readable source facts · Run evidence and any recorded receipts. A checksum fingerprints only the named file bytes; it does not prove safety, quality, a complete multi-file selection or a successful run.
Updated · Page-copy source revision 8871bab84e1cf80aea1686a944ec335078a6c036 · Source files: apps/web/lib/model-page-template.mjs, apps/web/lib/model-page-v3.mjs, apps/web/lib/aeo-page.mjs · Full revision record
Model metadata: As of at the model source. Popularity counters are source-reported, not measured by Hugging Bay. Availability checked .
google/owlv2-base-patch16-ensembleInformações do modelo
owlv2-base-patch16-ensemble is a vision model for zero shot object detection. The primary file is model.safetensors (620 MB). The primary file needs about 2 GB free for the selected file (file plus room to run it). License: Apache 2.0. The SHA-256 prefix is e1e130b9e404. 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.
O que está incluído
9 hosted of 11 listed
Sobre este modelo
External Hugging Face catalog record for google/owlv2-base-patch16-ensemble. Task: zero shot object detection. Library: transformers. Popularity signal at import: 1,481,156 downloads and 127 likes.
Informações básicas
- Hosted here
- 9 hosted of 11 listed
- Full repo upstream
- 1.24 GB
- Recommended file
- 619.9 MB · model.safetensors
- Format
- safetensors · BIN
- File hashes
- Hashes recorded. Date not recorded.
Licença e origem
License: apache-2.0
9 hosted of 11 listed
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
- 9 files, 1.24 GB
- Full repo upstream
- 1.24 GB
- Recommended file
- 619.9 MB · model.safetensors
- Files
- 9 hosted of 11 listed
- Download
- Download here (9 hosted files)
- Added to Hugging Bay
- Updated at source
FAQ
What is this model?
google/owlv2-base-patch16-ensemble 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/owlv2-base-patch16-ensemble · 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: 9 files, 1.24 GB. Full repo upstream: 1.24 GB. The recommended download, model.safetensors, is 619.9 MB.
What can I download here?
Hosted here: 9 files, 1.24 GB. Full repo upstream: 1.24 GB. The original release is at https://huggingface.co/google/owlv2-base-patch16-ensemble.
File checks and computer fit
File pattern scans
Automated file-pattern scans flagged nothing; not a safety guarantee. 9 hosted files carry a published SHA-256 you can re-hash. The machine-readable verdict is at /api/artifacts/hf-model-google-owlv2-base-patch16-ensemble/safety on Hugging Bay.
Will google/owlv2-base-patch16-ensemble 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.