Update model card for Sapiens with architecture details

README.md

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+---
+language: en
+license: cc-by-nc-4.0
+---
+
+# Seg-Sapiens-1B-Bfloat16
+
+### 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-1B 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:** seg
+- **Format:** bfloat16
+- **File:** sapiens_1b_goliath_best_goliath_mIoU_7994_epoch_151_bfloat16.pt2
+
+### Model Card
+- **Image Size:** 1024 x 768 (H x W)
+- **Num Parameters:** 1.169 B
+- **FLOPs:** 4.647 TFLOPs
+- **Patch Size:** 16 x 16
+- **Embedding Dimensions:** 1536
+- **Num Layers:** 40
+- **Num Heads:** 24
+- **Feedforward Channels:** 6144
+
+### More Resources
+- **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-seg](https://huggingface.co/spaces/facebook/sapiens-seg)
+- **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/)
+- **HuggingFace Collection:** [https://huggingface.co/collections/facebook/sapiens-66d22047daa6402d565cb2fc](https://huggingface.co/collections/facebook/sapiens-66d22047daa6402d565cb2fc)
+
+## Uses
+Seg 1B model can be used to perform 28 class body part segmentation on human images.