siglip2-base-patch16-256 safetensors download | Hugging Bay

Q: What is this model?

google/siglip2-base-patch16-256 is an open-weights vision model for zero shot image classification published by google, added to Hugging Bay Jun 29, 2026. Model from Hugging Face for zero shot image classification: google/siglip2-base-patch16-256 · 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: at least 7 listed files; full count and size unknown. Full repo upstream: 1.54 GB. The recommended download, model.safetensors, is 1.5 GB.

Q: What can I download here?

Hosted here: at least 7 listed files; full count and size unknown. Full repo upstream: 1.54 GB. The original release is at https://huggingface.co/google/siglip2-base-patch16-256.

Q: File pattern scans

Automated file-pattern scans flagged nothing; not a safety guarantee. 7 hosted files carry a published SHA-256 you can re-hash. The machine-readable verdict is at /api/artifacts/hf-model-google-siglip2-base-patch16-256/safety on Hugging Bay.

Q: Will google/siglip2-base-patch16-256 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

siglip2-base-patch16-256

google/siglip2-base-patch16-256

Model details

zero shot image classificationLicense: apache-2.0SHA-256 recorded for 8 of 9 filessafetensors

Content controls: not assessed.

The catalog lists this model for classifying images with supplied labels. Catalog sources: license, cardMetadata.license, task, cardMetadata.pipelineTag.

View as JSON →

Your next step

Use it from code

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-google-siglip2-base-patch16-256/model.safetensors",
    "model.safetensors",
)

Other ways

This file cannot open in the app. The app supports one GGUF file at a time.

See app requirements

7 hosted of 9 listed · Hashes recorded. Date not recorded.

Selected downloadmodel.safetensors1.5 GB · 1 file Download · 1.5 GB (1 file)

Open-file help

Content controls: not assessed.

Check your download →

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

7 hosted of 9 listed

Hashes recorded. Date not recorded.

File	Tamanho	SHA-256	Origem	Baixar
Weights
`model.safetensors` Default	1.5 GB	`6125cacc…4f5dc863` `6125cacc01fa93bdc98a0c5101cefcd69b2ed1f8ab4f38d86f4ad5984f5dc863`	Hosted	Baixar
Tokenizer & config
`config.json`	276 bytes	`7b5aedcb…2ec59edf` `7b5aedcb8893e31376e129c1ffd7a5392f1a806dbc793ce53eda220c2ec59edf`	Hosted	Baixar
`preprocessor_config.json`	394 bytes	`d14ba2ee…98465aff` `d14ba2ee3fd816f3de8abaddc31953565128eaf37c73ad4bed32101a98465aff`	Hosted	Baixar
`special_tokens_map.json`	636 bytes	`baec30ea…e1351351` `baec30ea10906f16adb8c18af7a34023002c1746542612b8b41c9f09e1351351`	Hosted	Baixar
`tokenizer.json`	34.4 MB	`cb9140fa…c6fd8322` `cb9140fae3ac5122c972d37adf83e1248471a38147ad76f8215c8872c6fd8322`	Hosted	Baixar
`tokenizer.model`	4.24 MB	`61a7b147…e1d4c8e2` `61a7b147390c64585d6c3543dd6fc636906c9af3865a5548f27f31aee1d4c8e2`	Upstream only	File metadata
`tokenizer_config.json`	47.2 KB	`14afe629…06e78fc8` `14afe629fe4959b9e0d51e1852b8d9f7ad074f90a1a7125a4fcdd17f06e78fc8`	Hosted	Baixar
Docs
`.gitattributes`	1.57 KB	—	Upstream only	File metadata
`README.md`	3.38 KB	`3f093559…4ea120ad` `3f093559c3a18d94d9336249cf2e4e42ec8752413f07eb6634e2820e4ea120ad`	Hosted	Baixar

Verificar um download

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

macOS

shasum -a 256 -- 'model.safetensors'

Linux

sha256sum -- 'model.safetensors'

Windows

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

Compare the result with the recorded SHA-256.

siglip2-base-patch16-256

Verificar um download

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