This is a vision transformer model from the timm library, based on the NaFlexViT architecture with SigLIP training. It is designed for image feature extraction and can be used with both the timm and Hugging Face Transformers libraries. The model is open source under Apache 2.0 and provides high-performance embeddings for computer vision tasks.
Naflexvit So400m Patch16 Siglip.v2 Webli is an Other AI product. It focuses on obtaining high-quality image embeddings and features from a SigLIP-based vision transformer without training from scratch. It is built as an open-source project for machine learning researchers and developers. Naflexvit So400m Patch16 Siglip.v2 Webli is open source under the Open Source license. The product ships for the web and API.
PyTorch Image Models builds and maintains Naflexvit So400m Patch16 Siglip.v2 Webli, and the product first shipped in 2025. Key capabilities include Image Feature Extraction, Pretrained Model, and PyTorch Integration. It exposes integrations via a public API.
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