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| title: CrispEmbed | |
| sdk: docker | |
| app_port: 7860 | |
| pinned: false | |
| # CrispEmbed — Text, Image, Face & Math OCR Embedding Demo | |
| Lightweight embedding inference via ggml. No Python runtime, no ONNX. | |
| **Text Embeddings**: Dense, sparse (SPLADE/BGE-M3), ColBERT multi-vector, | |
| cross-encoder reranking. 10 encoder/decoder architectures, 58 models. | |
| **Math OCR**: Six engines for math-image → LaTeX (printed + handwritten). | |
| **Image Embeddings**: CLIP/SigLIP cross-modal text-image search. | |
| **Face**: Detection (SCRFD/YuNet) + Recognition (ArcFace/AuraFace/SFace). | |
| Powered by the [CrispEmbed](https://github.com/CrispStrobe/CrispEmbed) | |
| C++ engine. Models auto-download on first use. | |