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## Robustness in Both Domains: CLIP Needs a Robust Text Encoder
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<span style="color:rgb(255, 0, 0);">Elias Abad Rocamora</span>, <span style="color:rgb(133 203 210);">Christian Schlarmann</span>, <span style="color:rgb(133 203 210);">Naman Deep Singh</span>, <span style="color:rgb(255, 0, 0);">Yongtao Wu</span>, <span style="color:rgb(133 203 210);">Matthias Hein</span> and <span style="color:rgb(255, 0, 0);">Volkan Cevher</span>
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<span style="color:rgb(255, 0, 0);">LIONS @ EPFL</span> and <span style="color:rgb(133 203 210);">Tübingen AI Center</span>
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In this repo, you will find all the models trained for our paper. You can load our models as any other CLIP model, for example, loading `LEAF-CLIP/CLIP-ViT-L-rho50-k1-constrained-FARE2` can be done with:
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```python
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```
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