consider warning if specific axe_* methods are not available

[dpprdan]

Please consider adding a warning to axe_*.default() methods that the package, which created the object (and might contain more specific axe_* methods) is not loaded.

I ran into this while trying to butcher() a workflow after loading it back in. (I am not butcher()ing before saving, due to #147)

The xgb_mod.rds is the workflow used in tidymodels/workflows#138

library(butcher)
xgb_mod <- readRDS("xgb_mod.rds")

## No message or warning without `verbose = TRUE` even though nothing is happening
xgb_btchrd <- butcher(xgb_mod)
all.equal(xgb_btchrd, xgb_mod)
#> [1] TRUE

## Cannot butcher if method is not available (but `verbose` message does not say that)
xgb_btchrd <- butcher(xgb_mod, TRUE)
#> x No memory released. Do not butcher.

library(workflows)

## Now we're talking
xgb_btchrd <- butcher(xgb_mod, TRUE)
#> Warning in as.function.default(c(formals(x), body(x)), env = rlang::base_env()):
#> partial argument match of 'env' to 'envir'
#> v Memory released: '943,080 B'

^{Created on 2022-02-25 by the reprex package (v2.0.1)}

Session info

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[dpprdan]

@amazongodman from looking at your example, I am not entirely sure whether it applies to this issue here (or the one reported over at parsnip for that matter), because you must have loaded {workflows}, so workflow's axe_*() methods must be available?
Anyway, my initial example is not a very good one, because one shouldn't use saveRDS()/readRDS() directly on {xgboost} models. That doesn't change the issue I reported here, though.