In order to run the NLP models, there are a lot more dependencies required, in addition to downloading the model (both sizes in GBs) and more loading time.
There should be two install options, based on the analysis performed to make packaging and installation easier-
default
deep
Where the default does the issue detection and issue type classification with minimum dependencies (only scancode-toolkit dependencies), and faster.
And then the deep option which uses the NLP models. Also, enable GPU computation based on whether required libraries (Cuda) are installed and a GPU available.
In order to run the NLP models, there are a lot more dependencies required, in addition to downloading the model (both sizes in GBs) and more loading time.
There should be two install options, based on the analysis performed to make packaging and installation easier-
defaultdeepWhere the
defaultdoes the issue detection and issue type classification with minimum dependencies (onlyscancode-toolkitdependencies), and faster. And then thedeepoption which uses the NLP models. Also, enable GPU computation based on whether required libraries (Cuda) are installed and a GPU available.Related - #21