| language: en | |
| license: cc-by-nc-4.0 | |
| # Pretrain-Sapiens-0.6B-Torchscript | |
| ### 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-0.6B 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_0.6b_epoch_1600_torchscript.pt2 | |
| ### Model Card | |
| - **Embedding Dimensions:** 1280 | |
| - **Num Layers:** 32 | |
| - **Num Heads:** 16 | |
| - **Feedforward Channels:** 5120 | |
| - **Num Parameters:** 0.6B | |
| - **Input Image Size:** 1024 x 1024 | |
| - **Patch Size:** 16 x 16 | |
| ### 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. | |