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Pretrain-Sapiens-0.3B-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-0.3B 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_0.3b_epoch_1600_torchscript.pt2

Model Card

  • Image Size: 1024 x 1024
  • Num Parameters: 0.336 B
  • FLOPs: 1.242 TFLOPs
  • Patch Size: 16 x 16
  • Embedding Dimensions: 1024
  • Num Layers: 24
  • Num Heads: 16
  • Feedforward Channels: 4096

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Uses

Pretrained 0.3B model can be used for feature extraction, fine-tuning, or as a starting point for training new models.

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