Update model card for Sapiens with architecture details

README.md

@@ -15,7 +15,7 @@ Sapiens is a family of vision transformers pretrained on 300 million human image
 Sapiens-1b natively support 1K high-resolution inference and are extremely easy to adapt for individual tasks by simply fine-tuning models pretrained on over 300 million in-the-wild human images. The resulting models exhibit remarkable generalization to in-the-wild data, even when labeled data is scarce or entirely synthetic. Our simple model design also brings scalability - model performance across tasks improves as we scale the parameters from 0.3 to 2 billion. Sapiens consistently surpasses existing baselines across various human-centric benchmarks.
 
 - **Developed by:** Meta
-- **Model type:** Vision Transformers
+- **Model type:** Vision Transformer
 - **License:** Creative Commons Attribution-NonCommercial 4.0
 - **Model Size:** 1b
 - **Task:** pretrain
@@ -32,4 +32,3 @@ Sapiens-1b natively support 1K high-resolution inference and are extremely easy
 ## Uses
 
 Pretrained 1b model can be used for feature extraction, fine-tuning, or as a starting point for training new models. 
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