Update model card for Sapiens with architecture details

README.md

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+---
+language: en
+license: cc-by-nc-4.0
+---
+
+# Depth-Sapiens-2B-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-2B 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:** depth
+- **Format:** torchscript
+- **File:** sapiens_2b_render_people_epoch_25_torchscript.pt2
+
+### Model Card
+- **Image Size:** 1024 x 768 (H x W)
+- **Num Parameters:** 2.163 B
+- **FLOPs:** 8.709 TFLOPs
+- **Patch Size:** 16 x 16
+- **Embedding Dimensions:** 1920
+- **Num Layers:** 48
+- **Num Heads:** 32
+- **Feedforward Channels:** 7680
+
+### More 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)
+- **Demo:** [https://huggingface.co/spaces/facebook/sapiens-depth](https://huggingface.co/spaces/facebook/sapiens-depth)
+- **Project Page:** [https://about.meta.com/realitylabs/codecavatars/sapiens/](https://about.meta.com/realitylabs/codecavatars/sapiens/)
+- **Additional Results:** [https://rawalkhirodkar.github.io/sapiens/](https://rawalkhirodkar.github.io/sapiens/)
+
+## Uses
+Depth 2B model can be used to estimate relative depth on human images.