google/siglip-base-patch16-256

Zero Shot Image Classification·google· 29.7K· 6

transformers apache-2.0 Zero Shot Image Classification 203.2M params arxiv:2303.15343arxiv:2209.06794license:apache-2.0region:us

SigLIP model pre-trained on WebLi at resolution 256x256. It was introduced in the paper Sigmoid Loss for Language Image Pre-Training by Zhai et al. and first released in this repository.

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# pull & run locally
pip install mlforge-sdk && mlforge pull google/siglip-base-patch16-256

Model details

Task

Zero Shot Image Classification

Provider

google

Framework

transformers

Parameters

203.2M

Size

776 MB

License

apache-2.0

Downloads

29.7K

Likes

Paper

arXiv:2303.15343

Updated

2024-09-26

About google/siglip-base-patch16-256

SigLIP model pre-trained on WebLi at resolution 256x256. It was introduced in the paper Sigmoid Loss for Language Image Pre-Training by Zhai et al. and first released in this repository.

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