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hi and welcome back to the channel in this video were going to be covering a very important question now imagine in a scenario youve got 10 000 documents that youve just processed with a fairly computationally expensive pipeline maybe youre using a Transformer Pipeline and you you dont want to redo all the work youve just done to create all of your dot containers after processing all your texts through a Spacey Pipeline and so you need a way to save that data outside of a python script or a Jupiter notebook so that you can load it up at a later date now in this scenario you might need to keep that data with a bunch of other metadata associated with those documents in this video Im going to cover two different ways that we can save our data both within Spaceys framework and also via pandas so lets go ahead and just Jump Right In by importing Spacey were also going to say import pandas as PD if youre not familiar with pandas dont worry about it this is just a way that we can