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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 TorchUncertainty with pip:
 
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  ```bash
 
 
 
 
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  pip install torch-uncertainty
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  ```
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- 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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- .
 
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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).