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FIX: MD linter
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@matbun
matbun authored and Alexander Zoechbauer committed Oct 10, 2023
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Show how `itwinai` can be used. Each use case folder contains:

- `pipeline.yaml`: textual description of the ML workflow for that use case
- `pipeline.yaml`: textual description of the ML workflow for that use case
- `train.py`: entry point of training workflow.
- `startscript`: file to execute the training workflow on a SLURM-based cluster.
- `requirements.txt`: (optional) use case-specific requirements. can be installed with:
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