SigLIP
Improved vision-language model by Google using sigmoid loss for contrastive learning.
Open SourceSelf HostedOffline CapableGPU Required (4GB+ VRAM)
0.0 (0)
About
SigLIP by Google replaces the softmax loss in CLIP with a sigmoid loss, enabling better scaling and performance. Produces strong image-text embeddings for zero-shot classification and retrieval. Available via Hugging Face. Apache 2.0 license.
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Details
- Price
- Free
- Platform
- Local/Desktop
- Difficulty
- Intermediate (3/5)
- License
- Apache-2.0
- Minimum VRAM
- 4 GB
- Added
- Apr 3, 2026
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