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vit_base_mci_224.apple_mclip2_dfndr2b
timm/vit_base_mci_224.apple_mclip2_dfndr2b
vit_base_mci_224.apple_mclip2_dfndr2b is a image feature extraction model from timm. Use it for the image feature extraction task on the model card, and read the license before you ship it in a product. It is set up for timm. The card lists the license as apple-amlr.
A MobileCLIP v2 (image encoder only) for timm. Equivalent to image tower from https://huggingface.co/timm/MobileCLIP2-B-OpenCLIP.
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At a glance
- Task
- Image Feature Extraction
- Library
- timm
- License
- apple-amlr
- Access
- Public
- Created
- Sep 10, 2025
- Updated
- Sep 10, 2025
- SHA
- c687c5da
Datasets
Model card
From the Hugging Face model README
Model card for vit_base_mci_224.apple_mclip2_dfndr2b
A MobileCLIP v2 (image encoder only) for timm. Equivalent to image tower from https://huggingface.co/timm/MobileCLIP2-B-OpenCLIP.
Model Details
- Dataset: DFNDR-2B
- Papers:
- MobileCLIP2: Improving Multi-Modal Reinforced Training: https://arxiv.org/abs/2508.20691
Citation
@article{faghri2025mobileclip2,
title={MobileCLIP2: Improving Multi-Modal Reinforced Training},
author={Faghri, Fartash and Vasu, Pavan Kumar Anasosalu and Koc, Cem and Shankar, Vaishaal and Toshev, Alexander and Tuzel, Oncel and Pouransari, Hadi},
journal={arXiv preprint arXiv:2508.20691},
year={2025}
}
- Task
- Image Feature Extraction
- Library
- timm
- License
- apple-amlr
- Created
- Sep 10, 2025
- Updated
- Sep 10, 2025