Hi,
thank you for your reply and your time.
I have a simple dataset that looks something like:
LABEL                          TEXT
‘AB1’                             ‘Some text 1’
‘AB2’                             ‘Some text 2’
and so on
I have 10 different labels and I wanna create a model for multiclass classification according to these labels. Before Dataset, just to check me if I have set up the problem correctly: I should encode data in LABEL columns and make embedding for words in column TEXT (of course, after cleaning and tokenization).
How would you solve this problem with PyTorch in steps (or if you have some link for similar problems)?
Thank you for your time