Memory leak on corrector.LoadLangModel()

[rominf]

I've trained my model (I've tried versions from master and 0.0.11 branches) on 10 MiB plain text part of English Wikipedia (enwiki-latest-pages-articles_10MiB.txt) and got 41 MiB bin file (enwiki.bin.zip).

I'm loading it in Python, but it takes 12 GiB of memory to load it and still it doesn't load in foreseeable time.

[xdingo93x]

I'm facing the same issue. I've trained a (german) model using around 560MiB plain text from the Leipzig Corpora Collection. The model itself is 488MiB. Having a 16GB RAM 4CPU Linux Cloud, it takes 5-10 min to load the model. Is it possible to speed this up?

[mshakirDr]

March 16, 2022
I tried to use this on Windows 10, Python 3.9.7 but it keeps eating memory and nothing happens. Unable to load the 34 MB English model.

[bakwc]

Community version doesn't support loading linux models on windows.
You should either use a linux or train your own model on windows.

Or you can buy a PRO version, it supports all models on all operation systems. Also a PRO version reduced memory usage while training.