Short walkthroughs of the three core workflows. Each assumes you have already installed ElemeNet (see the top-level README) and activated the conda environment:
conda activate ElemeNet| Tutorial | Content |
|---|---|
| Tutorial 1: Training | Train a model two ways: the training_pipeline Python API and the elemenet_train CLI. |
| Tutorial 2: Fine-tuning | Continue training from a checkpoint. Explains the difference between resuming (--resume) and transfer-learning (--transfer_learn). |
| Tutorial 3: Inference | Run a trained model on new data with elemenet_inference. |
Note that the paths used in the examples should be adapted to your own workflows.