Update README.md

README.md

@@ -172,6 +172,61 @@ We can simply test the model by passing a dummy input image. The output is the l
 
 </table>
 
+### ImageNet-21K
+**FasterViT ImageNet-21K Pretrained Models (ImageNet-1K Fine-tuned)**
+
+<table>
+  <tr>
+    <th>Name</th>
+    <th>Acc@1(%)</th>
+    <th>Acc@5(%)</th>
+    <th>Resolution</th>
+    <th>#Params(M)</th>
+    <th>FLOPs(G)</th>
+    <th>Download</th>
+  </tr>
+
+<tr>
+    <td>FasterViT-4-21K-224</td>
+    <td>86.6</td>
+    <td>97.8</td>
+    <td>224x224</td>
+    <td>271.9</td>
+    <td>40.8</td>
+    <td><a href="https://huggingface.co/ahatamiz/FasterViT/resolve/main/fastervit_4_21k_224_w14.pth.tar">model</a></td>
+</tr>
+
+<tr>
+    <td>FasterViT-4-21K-384</td>
+    <td>87.6</td>
+    <td>98.3</td>
+    <td>384x384</td>
+    <td>271.9</td>
+    <td>120.1</td>
+    <td><a href="https://huggingface.co/ahatamiz/FasterViT/resolve/main/fastervit_4_21k_384_w24.pth.tar">model</a></td>
+</tr>
+
+<tr>
+    <td>FasterViT-4-21K-512</td>
+    <td>87.8</td>
+    <td>98.4</td>
+    <td>512x512</td>
+    <td>271.9</td>
+    <td>213.5</td>
+    <td><a href="https://huggingface.co/ahatamiz/FasterViT/resolve/main/fastervit_4_21k_512_w32.pth.tar">model</a></td>
+</tr>
+
+<tr>
+    <td>FasterViT-4-21K-768</td>
+    <td>87.9</td>
+    <td>98.5</td>
+    <td>768x768</td>
+    <td>271.9</td>
+    <td>480.4</td>
+    <td><a href="https://huggingface.co/ahatamiz/FasterViT/resolve/main/fastervit_4_21k_768_w48.pth.tar">model</a></td>
+</tr>
+
+</table>
 
 ### Robustness (ImageNet-A - ImageNet-R - ImageNet-V2)