Model reference · open weights

sapiens-pretrain-torchscript

Embeddings facebook Image embed 1 build Non-commercial 1k dl/mo

sapiens-pretrain-torchscript is an open-weight embedding model from Meta.

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  • Sapiens-1B is a vision transformer developed by Meta for image feature extraction and fine-tuning on human-centric tasks.
  • The model has 1.169 billion parameters, processes 1024 x 1024 images, and is distributed under the Creative Commons Attribution-NonCommercial 4.0 license.

Summary of the facebook/sapiens-pretrain-1b-torchscript model card, 2026-10-01

What it is

Released byMeta
Released2024-09-09

From the model card

What Meta says about sapiens-pretrain-torchscript

Read the model card

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: pretrain
  • Format: torchscript
  • File: sapiens_1b_epoch_173_torchscript.pt2

Model Card

  • Image Size: 1024 x 1024
  • 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

Uses

Pretrained 1B model can be used for feature extraction, fine-tuning, or as a starting point for training new models.

Quoted from the model card on Hugging Face. The full card is behind the Hugging Face link above.

How it works

How embedding models work

Your textsentence / documentEncodermaps meaningVectorlist of numbersAn embedding model turns text into a vector, so similar meanings sit close together, which is the basis of search and RAG.
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