rawalkhirodkar commited on
Commit
f216118
1 Parent(s): 75f1709

Update model card for Sapiens with architecture details

Browse files
Files changed (1) hide show
  1. README.md +1 -2
README.md CHANGED
@@ -15,7 +15,7 @@ Sapiens is a family of vision transformers pretrained on 300 million human image
15
  Sapiens-0.3b 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.
16
 
17
  - **Developed by:** Meta
18
- - **Model type:** Vision Transformers
19
  - **License:** Creative Commons Attribution-NonCommercial 4.0
20
  - **Model Size:** 0.3b
21
  - **Task:** pretrain
@@ -32,4 +32,3 @@ Sapiens-0.3b natively support 1K high-resolution inference and are extremely eas
32
  ## Uses
33
 
34
  Pretrained 0.3b model can be used for feature extraction, fine-tuning, or as a starting point for training new models.
35
-
 
15
  Sapiens-0.3b 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.
16
 
17
  - **Developed by:** Meta
18
+ - **Model type:** Vision Transformer
19
  - **License:** Creative Commons Attribution-NonCommercial 4.0
20
  - **Model Size:** 0.3b
21
  - **Task:** pretrain
 
32
  ## Uses
33
 
34
  Pretrained 0.3b model can be used for feature extraction, fine-tuning, or as a starting point for training new models.