Update model card for Sapiens with architecture details
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README.md
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license: cc-by-nc-4.0
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# Sapiens-2B-
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- **Embedding Dimensions:** 1920
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- **Num Layers:** 48
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- **Num Heads:** 32
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- **Feedforward Channels:** 7680
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- **Num Parameters:** 2B
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- **Input Image Size:** 1024 x 1024
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- **Patch Size:** 16 x 16
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## Model Details
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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.
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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.
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- **Format:** torchscript
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- **File:** sapiens_2b_epoch_660_torchscript.pt2
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### Model Sources
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- **Repository:** [https://github.com/facebookresearch/sapiens](https://github.com/facebookresearch/sapiens)
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- **Paper:** [https://arxiv.org/abs/2408.12569](https://arxiv.org/abs/2408.12569)
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license: cc-by-nc-4.0
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# Pretrain-Sapiens-2B-Torchscript
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### Model Details
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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.
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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.
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- **Format:** torchscript
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- **File:** sapiens_2b_epoch_660_torchscript.pt2
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### Model Card
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- **Embedding Dimensions:** 1920
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- **Num Layers:** 48
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- **Num Heads:** 32
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- **Feedforward Channels:** 7680
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- **Num Parameters:** 2B
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- **Input Image Size:** 1024 x 1024
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- **Patch Size:** 16 x 16
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### Model Sources
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- **Repository:** [https://github.com/facebookresearch/sapiens](https://github.com/facebookresearch/sapiens)
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- **Paper:** [https://arxiv.org/abs/2408.12569](https://arxiv.org/abs/2408.12569)
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