I'd like to make a pipeline capable of understanding pdfs of bank statements and then group expenses by categories etc. My thought was to first parse them with ocr into .md files and then feed that to a text model. I think it's more lightweight and accurate this way. But then I'm not sure what model to use to feed all these md files to get something good. When accuracy matters, should I go for qwen, gemma, lfm, or something else? Thank you for your help!   submitted by   /u/StupidScaredSquirrel [link]   [comments]