Best way to save a trained model in PyTorch?

import time
time.sleep(5)   # Delays for 5 seconds. You can also use a float value.

Here is another example where something is run approximately once a minute:

import time
while True:
    print("This prints once a minute.")
    time.sleep(60) # Delay for 1 minute (60 seconds).

You can use the sleep() function in the time module. It can take a float argument for sub-second resolution.

from time import sleep
sleep(0.1) # Time in seconds

• os.remove() removes a file.

• os.rmdir() removes an empty directory.

• shutil.rmtree() deletes a directory and all its contents.

Path objects from the Python 3.4+ pathlib module also expose these instance methods:

• pathlib.Path.unlink() removes a file or symbolic link.

• pathlib.Path.rmdir() removes an empty directory.

Thanks for explaining! I was stuck with Best way to save a trained model in PyTorch? for some hours, finally got it done 🤗. Will get back tomorrow with feedback

Thanks for explaining! I was stuck with Best way to save a trained model in PyTorch? for some hours, finally got it done 🤗. I am just not quite sure it is the best method

I was preparing for my coding interview, thanks for clarifying this - Best way to save a trained model in PyTorch? in Python is not the simplest one. Will use it in my bachelor thesis