1
Install Lightning
Use 'pip install lightning' or 'conda install lightning -c conda-forge' to install the library.
2
Define a LightningModule
Create a LightningModule by extending PyTorch's nn.Module and implement training_step, validation_step, and test_step methods.
3
Configure the Trainer
Instantiate a Trainer object with parameters like accelerator, devices, precision, and epochs.
4
Train the model
Call the Trainer's fit method with your LightningModule and data loaders.
5
Load and use checkpoints
Save trained models as checkpoints and load them for inference or further training.