metadata
license: apache-2.0
tags:
- vision
- checkpoints
- residual-networks
pretty_name: Checkpoints
The Checkpoints dataset as trained and used in A Symmetry-Aware Exploration of Bayesian Neural Network Posteriors published at ICLR 2024.
Usage
Tar
Just untar the desired models. This will create a new folder containing the models saved as safetensors.
TorchUncertainty
To load or train models, start by downloading TorchUncertainty - Documentation.
Install the desired version of PyTorch and torchvision, for instance with:
pip install torch torchvision
Then, install TorchUncertainty via pip:
pip install torch-uncertainty
Loading models
The functions to load the models are available in scripts.
Any questions? Please feel free to ask in the GitHub Issues or on our Discord server.