fix bug/typos

hubconfs/transformer_xl_hubconf.py

@@ -86,7 +86,7 @@ def transformerXLModel(*args, **kwargs):
 		# We can re-use the memory cells in a subsequent call to attend a longer context
         >>> with torch.no_grad():
                 hidden_states_1, mems_1 = model(tokens_tensor_1)
-				hidden_states_2, past = model(tokens_tensor_2, past=past)
+				hidden_states_2, mems_2 = model(tokens_tensor_2, mems=mems_1)
     """
     model = TransfoXLModel.from_pretrained(*args, **kwargs)
     return model
@@ -121,7 +121,7 @@ def transformerXLLMHeadModel(*args, **kwargs):
 		# We can re-use the memory cells in a subsequent call to attend a longer context
         >>> with torch.no_grad():
                 predictions_1, mems_1 = model(tokens_tensor_1)
-				predictions_2, past = model(tokens_tensor_2, past=past)
+				predictions_2, mems_2 = model(tokens_tensor_2, mems=mems_1)
 
 		# Get the predicted last token
 		>>> predicted_index = torch.argmax(predictions_2[0, -1, :]).item()