Update model card for Sapiens with architecture details

README.md

@@ -3,18 +3,9 @@ language: en
 license: cc-by-nc-4.0
 ---
 
-# Sapiens-0.3B-torchscript
+# Pretrain-Sapiens-0.3B-Torchscript
 
-## Model Card
-- **Embedding Dimensions:** 1024
-- **Num Layers:** 24
-- **Num Heads:** 16
-- **Feedforward Channels:** 4096
-- **Num Parameters:** 0.3B
-- **Input Image Size:** 1024 x 1024
-- **Patch Size:** 16 x 16
-
-## Model Details
+### Model Details
 Sapiens is a family of vision transformers pretrained on 300 million human images at 1024 x 1024 image resolution. The pretrained models, when finetuned for human-centric vision tasks, generalize to in-the-wild conditions.
 Sapiens-0.3B natively support 1K high-resolution inference. The resulting models exhibit remarkable generalization to in-the-wild data, even when labeled data is scarce or entirely synthetic.
 
@@ -25,6 +16,15 @@ Sapiens-0.3B natively support 1K high-resolution inference. The resulting models
 - **Format:** torchscript
 - **File:** sapiens_0.3b_epoch_1600_torchscript.pt2
 
+### Model Card
+- **Embedding Dimensions:** 1024
+- **Num Layers:** 24
+- **Num Heads:** 16
+- **Feedforward Channels:** 4096
+- **Num Parameters:** 0.3B
+- **Input Image Size:** 1024 x 1024
+- **Patch Size:** 16 x 16
+
 ### Model Sources
 - **Repository:** [https://github.com/facebookresearch/sapiens](https://github.com/facebookresearch/sapiens)
 - **Paper:** [https://arxiv.org/abs/2408.12569](https://arxiv.org/abs/2408.12569)