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---
language: en
license: cc-by-nc-4.0
---

# Sapiens-2b-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-2b 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:** 2b
- **Task:** pretrain
- **Format:** torchscript
- **File:** sapiens_2b_epoch_660_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 2b model can be used for feature extraction, fine-tuning, or as a starting point for training new models.