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added documentation for HPC training

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Luca Orlandi
2026-04-20 10:53:20 +02:00
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README.md
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@@ -74,6 +74,11 @@ If this is the case, before running the training procedure, one should run the f
in order to deselect the possibility of using said GPUs.
#### Training in HPC
It is also possible to train the model on the Raven HPC, even if for a single training, without the need for optimization, it is not necessary to use such a powerful machine.
The steps to deploy and train the model on the raven HPC, which has NVIDIA GPUs available, are thoroughly described in the file HPCProcedures.md
### Jupyter Notebooks
This is a useful tool for exploring the code and see hands-on examples on how the various steps work together, however it can be messy inside a .git repository, in order to avoid embedding in the version control a great amount of useless data and plot, the use of the nbstripout package is strongly recommended. This package, a possible implementation can be found [here](https://pypi.org/project/nbstripout/) under the 'Using as a Git filter' section.