Marqo FashionSigLIP Model Card Marqo Fashion Siglip 2 is available. marqo fashion SigLip 2 has shown a further 78% improvement in MMR and recall vs marqo fashion SigLip. Contact Marqo to learn more: https://www.marqo.ai/book demo Marqo FashionSigLIP is a multimodal embedding model that provides up to 57% improvement in MRR and recall over fashion clip. Marqo FashionSigLIP leverages Generalised Contrastive Learning (GCL) which allows the model to be trained on not just text descriptions but also categories, style, colors, materials, keywords and fine details to provide highly relevant search results on fashion products. The model was fine tuned from ViT B 16 SigLIP (webli). Github Page : Marqo FashionCLIP Blog : Marqo Blog Usage Hugging Face The model can be loaded with AutoModel by OpenCLIP The model can be seamlessly used with OpenCLIP by Transformers.js You can also run the model in JavaScript with the Transformers.js library. First, install it from NPM using: Then, compute embeddings as follows: Benchmark Results Average evaluation results on 6 public multimodal fashion datasets (Atlas, DeepFashion (In shop), DeepFashion (Multimodal), Fashion200k, KAGL, and Polyvore) are reporte…
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