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---
language: en
license: cc-by-nc-4.0
---
# 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
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.
- **Developed by:** Meta
- **Model type:** Vision Transformer
- **License:** Creative Commons Attribution-NonCommercial 4.0
- **Task:** pretrain
- **Format:** torchscript
- **File:** sapiens_0.3b_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 0.3B model can be used for feature extraction, fine-tuning, or as a starting point for training new models.
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