Sapiens Exported Model (Schema 7.3)

This repository provides a re-exported checkpoint of the facebook/sapiens segmentation model using PyTorch 2.5.1, ensuring compatibility with modern torch.export.load() workflows.


Background

The original SAPIENS checkpoints were exported in PyTorch 2.1.x and use IR schema version 5.1, which causes torch.export.load() to fail on newer PyTorch versions (e.g., 2.2+), due to a mismatch in how versioning is handled internally.

Many users encounter the following error:

ValueError: invalid literal for int() with base 10: b'5.1'

To address this, we provide a re-exported checkpoint using PyTorch 2.5.1, which uses schema version 7.3, fully compatible with current and future versions of PyTorch.


Contents

  • ..._bfloat16.pt2: Re-exported IR checkpoint
  • Compatible with: torch.export.load() in PyTorch โ‰ฅ 2.3.0
  • Schema version: 7.3

How to Load

from torch.export import load
from huggingface_hub import hf_hub_download

model_path = hf_hub_download("RyanL22/sapiens-bfloat16", "pose/checkpoints/sapiens_1b_goliath_best_goliath_AP_639_bfloat16.pt2")
model = load(model_path).module()

๐Ÿ”ง Make sure you are using PyTorch 2.3.0 or higher to ensure schema 7.x compatibility.

Credits Original model: facebook/sapiens

Re-exported by: @RyanL22

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