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README.md
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@@ -11,16 +11,27 @@ The Checkpoints dataset as trained and used in [A Symmetry-Aware Exploration of
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## Usage
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To load or train models, start by downloading [TorchUncertainty](https://github.com/ENSTA-U2IS-AI/torch-uncertainty) - [Documentation](https://torch-uncertainty.github.io/).
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Install
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```bash
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pip install torch-uncertainty
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```
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**Any questions?** Please feel free to ask in the [GitHub Issues](https://github.com/ENSTA-U2IS-AI/torch-uncertainty/issues) or on our [Discord server](https://discord.gg/HMCawt5MJu)
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## Usage
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### Tar
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Just untar the desired models. This will create a new folder containing the models saved as safetensors.
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### TorchUncertainty
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To load or train models, start by downloading [TorchUncertainty](https://github.com/ENSTA-U2IS-AI/torch-uncertainty) - [Documentation](https://torch-uncertainty.github.io/).
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Install the desired version of PyTorch and torchvision, for instance with:
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```bash
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pip install torch torchvision
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```
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Then, install TorchUncertainty via pip:
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```bash
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pip install torch-uncertainty
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```
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### Loading models
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The functions to load the models are available in `scripts`.
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**Any questions?** Please feel free to ask in the [GitHub Issues](https://github.com/ENSTA-U2IS-AI/torch-uncertainty/issues) or on our [Discord server](https://discord.gg/HMCawt5MJu).
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