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 โฅ 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()
๐ง 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
Model tree for RyanL22/sapiens-bfloat16
Base model
facebook/sapiens