for p in model.classifier.parameters()
  nn.init.xavier_normal_(p)

(without the _ for pre 0.4).
Note that it might be an alternative to explicitly target weights, but not bias (and init this by 0 or something.)
Here nn.init.xavier_normal_(features[-1].weight)
Best regards
Thomas