Update model card for Sapiens

README.md

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+---
+language: en
+license: cc-by-nc-4.0
+---
+
+# Sapiens-0.6b-torchscript
+
+## Model Card for Sapiens
+
+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.
+
+## Model Details
+
+### Model Description
+Sapiens-0.6b 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
+- **License:** Creative Commons Attribution-NonCommercial 4.0
+- **Model Size:** 0.6b
+- **Task:** pretrain
+- **Format:** torchscript
+- **File:** sapiens_0.6b_epoch_1600_torchscript.pt2
+
+### 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)
+
+## Uses
+
+Pretrained 0.6b model can be used for feature extraction, fine-tuning, or as a starting point for training new models. 
+