org card: competitor HF links in all tables

README.md

@@ -31,7 +31,7 @@ short_description: SOTA fashion retrieval, measured and open.
   <h2>Text-to-image — models under 250M parameters</h2>
   <p>The size class most deployments use. Full-corpus MAP@10; best per row bold 🥇, second 🥈:</p>
   <table>
-    <tr><th>benchmark (corpus)</th><th>FashionSigLIP 203M</th><th>MODA 203M</th><th>MODA Pro Lite 213M</th></tr>
+    <tr><th>benchmark (corpus)</th><th><a href="https://huggingface.co/Marqo/marqo-fashionSigLIP">FashionSigLIP</a> 203M</th><th>MODA 203M</th><th>MODA Pro Lite 213M</th></tr>
     <tr><td>KAGL (44K)</td><td>0.2769</td><td>0.2890 🥈</td><td><b>0.3185</b> 🥇</td></tr>
     <tr><td>Polyvore (94K)</td><td>0.3665</td><td>0.3726 🥈</td><td><b>0.3997</b> 🥇</td></tr>
     <tr><td>Atlas (78K)</td><td>0.1826</td><td>0.1884 🥈</td><td><b>0.1945</b> 🥇</td></tr>
@@ -56,7 +56,7 @@ short_description: SOTA fashion retrieval, measured and open.
     model, no gallery subsampling anywhere. Best per row in bold with 🥇, second 🥈.
   </p>
   <table>
-    <tr><th>benchmark (corpus)</th><th>FashionSigLIP<br>203M</th><th>MODA<br>203M</th><th>SO400M<br>878M</th><th>ZooClaw<br>375M</th><th>MODA Pro Lite<br>213M</th><th>MODA Pro<br>416M system</th></tr>
+    <tr><th>benchmark (corpus)</th><th><a href="https://huggingface.co/Marqo/marqo-fashionSigLIP">FashionSigLIP</a><br>203M</th><th>MODA<br>203M</th><th><a href="https://huggingface.co/timm/ViT-SO400M-14-SigLIP-384">SO400M</a><br>878M</th><th><a href="https://huggingface.co/srpone/zooclaw-fashionsiglip2">ZooClaw</a><br>375M</th><th>MODA Pro Lite<br>213M</th><th>MODA Pro<br>416M system</th></tr>
     <tr><td>KAGL (44K)</td><td>0.2769</td><td>0.2890</td><td><b>0.3370</b> 🥇</td><td>0.2951</td><td>0.3185</td><td>0.3263 🥈</td></tr>
     <tr><td>Polyvore (94K)</td><td>0.3665</td><td>0.3726</td><td><b>0.4378</b> 🥇</td><td>0.3804</td><td>0.3997</td><td>0.4088 🥈</td></tr>
     <tr><td>Atlas (78K)</td><td>0.1826</td><td>0.1884</td><td><b>0.2309</b> 🥇</td><td>0.1583</td><td>0.1945</td><td>0.2053 🥈</td></tr>
@@ -80,9 +80,9 @@ short_description: SOTA fashion retrieval, measured and open.
   <table>
     <tr><th>model</th><th>params</th><th>Fine R@1</th></tr>
     <tr><td><b><a href="https://huggingface.co/HopitAI/moda-fashion-distilled">MODA-SigLIP-Distilled</a></b></td><td>203M</td><td><b>67.63</b> 🥇</td></tr>
-    <tr><td>GR-Pro (closed)</td><td>n/a</td><td>67.38</td></tr>
-    <tr><td>Tianmu-MERE</td><td>1.24B</td><td>65.99†</td></tr>
-    <tr><td>FashionSigLIP</td><td>203M</td><td>63.84†</td></tr>
+    <tr><td><a href="https://serendipityoneinc.github.io/look-bench-page/">GR-Pro</a> (closed)</td><td>n/a</td><td>67.38</td></tr>
+    <tr><td><a href="https://huggingface.co/TianmuLab/Tianmu-MERE">Tianmu-MERE</a></td><td>1.24B</td><td>65.99†</td></tr>
+    <tr><td><a href="https://huggingface.co/Marqo/marqo-fashionSigLIP">FashionSigLIP</a></td><td>203M</td><td>63.84†</td></tr>
   </table>
   <p>
     †same-harness reruns; our harness reproduces Tianmu's published 66.20 within