continue training with chekckpoint

[wiemrebhi]

Hello can someone help me how can i continue training detr from last epoch with checkpoint

this is the code for training :

from pytorch_lightning.callbacks import EarlyStopping
from pytorch_lightning import Trainer

MAX_EPOCHS = 200

early_stopping_callback = EarlyStopping(
monitor='training_loss', # Monitor validation AP
min_delta=0.00, # Minimum change in AP
patience=3, # Number of epochs to wait for improvement before stopping
mode='max' # Consider AP as a maximization metric
)

trainer = Trainer(
devices=1,
accelerator="gpu",
max_epochs=MAX_EPOCHS,
gradient_clip_val=0.1,
accumulate_grad_batches=8,
log_every_n_steps=5,
callbacks=[early_stopping_callback]
)

trainer.fit(model)
should i add something or what i should do next