Is there a way to get the standard errors for a multinomial logistic regression model using ggpreeict

Question

Is there a way to use ggpredict and get the standard errors (or confidence intervals) for predicted probabilities of a multinomial logistic regression model using multinom and ggpredict? Thank you.

var1<-sample(c('A', 'B', 'C'), size=1000, replace=T)
var2<-rnorm(n=1000)
var3<-rnorm(n=1000)

df<-data.frame(var1, var2, var3)
library(nnet)
mod1<-multinom(var1~var2+var3, data=df)

library(ggeffects)
preds<-ggpredict(mod1, terms="var2")
data.frame(preds)