Update README.md

Author: rwightman

README.md

@@ -26,6 +26,11 @@
 * The Hugging Face Hub (https://huggingface.co/timm) is now the primary source for `timm` weights. Model cards include link to papers, original source, license. 
 * Previous 0.6.x can be cloned from [0.6.x](https://github.com/rwightman/pytorch-image-models/tree/0.6.x) branch or installed via pip with version.
 
+### May 14, 2024
+* Support loading PaliGemma jax weights into SigLIP ViT models with average pooling.
+* Add Hiera models from Meta (https://github.com/facebookresearch/hiera).
+* Add `normalize=` flag for transorms, return non-normalized torch.Tensor with original dytpe (for `chug`)
+
 ### May 11, 2024
 * `Searching for Better ViT Baselines (For the GPU Poor)` weights and vit variants released. Exploring model shapes between Tiny and Base.
 
@@ -42,6 +47,7 @@
 | [vit_medium_patch16_reg4_gap_256.sbb_in1k](https://huggingface.co/timm/vit_medium_patch16_reg4_gap_256.sbb_in1k)  | 83.47 | 96.622 | 38.88 | 256 |
 | [vit_medium_patch16_reg1_gap_256.sbb_in1k](https://huggingface.co/timm/vit_medium_patch16_reg1_gap_256.sbb_in1k)  | 83.462 | 96.548 | 38.88 | 256 |
 | [vit_little_patch16_reg4_gap_256.sbb_in1k](https://huggingface.co/timm/vit_little_patch16_reg4_gap_256.sbb_in1k)  | 82.514 | 96.262 | 22.52 | 256 |
+| [vit_wee_patch16_reg1_gap_256.sbb_in1k](https://huggingface.co/timm/vit_wee_patch16_reg1_gap_256.sbb_in1k)  | 80.256 | 95.360 | 13.42 | 256 |
 | [vit_pwee_patch16_reg1_gap_256.sbb_in1k](https://huggingface.co/timm/vit_pwee_patch16_reg1_gap_256.sbb_in1k)  | 80.072 | 95.136 | 15.25 | 256 |
 | [vit_mediumd_patch16_reg4_gap_256.sbb_in12k](https://huggingface.co/timm/vit_mediumd_patch16_reg4_gap_256.sbb_in12k) | N/A | N/A | 64.11 | 256 |
 | [vit_betwixt_patch16_reg4_gap_256.sbb_in12k](https://huggingface.co/timm/vit_betwixt_patch16_reg4_gap_256.sbb_in12k)  | N/A | N/A | 60.4 | 256 |