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uta-smile/instructcir_llava_phi35_clip224_lp
instructcir_llava_phi35_clip224_lp is a image-text-to-text model from uta-smile. Use it for the image-text-to-text task on the model card, and read the license before you ship it in a product. The card lists the license as apache-2.0.
GitHub Repository: https://github.com/zhwl2117/InstructCIR
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From the Hugging Face model README
GitHub Repository: https://github.com/zhwl2117/InstructCIR
NOTE: InstructCIR adopts the training codes from xtuner/llava-phi-3-mini-hf but uses ViT-L-224 and Phi-3.5-Mini for consistency with existing CIR models
@article{zhong2024compositional,
title={Compositional Image Retrieval via Instruction-Aware Contrastive Learning},
author={Zhong, Wenliang and An, Weizhi and Jiang, Feng and Ma, Hehuan and Guo, Yuzhi and Huang, Junzhou},
journal={arXiv preprint arXiv:2412.05756},
year={2024}
}