Please use Language Modeler provided to train a skip$-$gram modelimport torch.nn as $$

import torch.nn$.$functional as F

class LanguageModeler$($nn$.$ Module$)$:

def $($self$,$ vocab$\_$size, embedding$\_$dim, context$\_$size, hidden$\_$size$=128)$:

super $($LanguageModeler$,$ self$).\_-()$

self.embeddings $=$ nn$.$ Embedding$($vocab$\_$size, embedding$\_$dim