Change multiple value labels using tidyverse syntax?

The labelled package provides this functionality to modify value labels for multiple variables in one go:

df <- data.frame(v1 = 1:3, v2 = c(2, 3, 1), v3 = 3:1)
val_labels(df[, c("v1", "v3")]) <- c(YES = 1, MAYBE = 2, NO = 3)
val_labels(df)

But I'm wondering if there's a way to do this in tidyverse syntax:

Something like this:

library(tidyverse)
df%>%
mutate(across(V1:V2), ~val_labels(.x)<-c(YES = 1, MAYBE = 2, NO = 3)

We need to assign and then return the column (.x). In addition, when there are more than one expression, wrap it inside the {}

library(dplyr)
library(labelled)
df <- df %>%
  mutate(across(v1:v2, ~ 
       {
       val_labels(.x) <- c(YES = 1, MAYBE = 2, NO = 3)
       .x
     }))

-output

> val_labels(df)
$v1
  YES MAYBE    NO 
    1     2     3 

$v2
  YES MAYBE    NO 
    1     2     3 

$v3
NULL