Models are stored depending on the way they have been trained:
-
ST_pretrainedmodel_public_dataset
Models trained by ST using public datasets -
ST_pretrainedmodel_custom_dataset
Models trained by ST using custom datasets -
Public_pretrainedmodel_public_dataset
Public models trained using public datasets -
torch_checkpoints
PyTorch training checkpoints and can be used for finetuning user models on custom data