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@@ -26,10 +26,12 @@ Sapiens-0.6B natively support 1K high-resolution inference. The resulting models
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  - **Num Heads:** 16
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  - **Feedforward Channels:** 5120
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- ### More 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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- - **Demo:** [Sapiens Gradio Spaces](https://huggingface.co/collections/facebook/sapiens-66d22047daa6402d565cb2fc)
 
 
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  ## Uses
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  Pretrained 0.6B model can be used for feature extraction, fine-tuning, or as a starting point for training new models.
 
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  - **Num Heads:** 16
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  - **Feedforward Channels:** 5120
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+ ### More Resources
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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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+ - **Demos:** [Sapiens Gradio Spaces](https://huggingface.co/collections/facebook/sapiens-66d22047daa6402d565cb2fc)
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+ - **Project Page:** [https://about.meta.com/realitylabs/codecavatars/sapiens](https://about.meta.com/realitylabs/codecavatars/sapiens/)
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+ - **Additional Results:** [https://rawalkhirodkar.github.io/sapiens](https://rawalkhirodkar.github.io/sapiens/)
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  ## Uses
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  Pretrained 0.6B model can be used for feature extraction, fine-tuning, or as a starting point for training new models.