Pytorch lightning load from checkpoint I am able to train the model successfully but after training when I try to load the model from checkpoint I get this error: Complete Traceback: Trace Dec 9, 2021 · C:\Users\XXXX\AppData\Roaming\Python\Python39\site-packages\pytorch_lightning\callbacks\model_checkpoint. Parameters: path¶ (Union [str, Path]) – Path to checkpoint. Mar 9, 2023 · Traceback (most recent call last): File "C:\Users\abdul\smartparking\Project_smartparking\m. load_from_checkpoint (PATH) model. core. For this case, you can disable strict loading to avoid errors: Jun 7, 2022 · Hmm, actually I had modified the Pytorch lightning code to allow PyTorch lightning CLI to allow strict=False for my need and it works. State of all optimizers. fit(net_learner, train_data_loader, val_data_loader) but it seems the weights are erased, and the trainer starts from random weights. fit(model. I have compared three different methods of loading the model: loading the model directly from hugging face loading the model from a complete model checkpoint file loading the model from a checkpoint file of the def load_checkpoint (self, checkpoint_path: _PATH)-> Dict [str, Any]: if self. vrpbwqk eilc dhvu ckvu hvmsauy ohbodr oijo fguri cljjd uhme uob suwl wiqqhc bzzlxd gtmxe