Wondering how to train small models, big models work
Binozo opened this issue Β· comments
Hello there π
recently I successfully trained a new word for the german vosk-model-de-0.21
:)
As I am currently running vosk on my Pi 5 I have limited memory and that german model already exceedes 5GB in memory usage. I wanted to perform that training on a smaller model like vosk-model-small-de-zamia-0.3)
or vosk-model-small-de-0.15
as I already had really good results with those in my case.
On your page is the following instruction: For small model, just pick the required files from exp/chain/tdnn/lgraph.
but sadly that lgraph
directory is nowhere to find.
I found a reference to that directory in compile-graph.sh:8
: rm -rf exp/lgraph
but nowhere else π€
All other required directories and files for the big models do exist and work as expected. Does anybody know how to compile for those smaller models?
You need a small model compilation package, you can request it over email contact@alphacephei.com
Ok thanks!