Faster way to load large Machine Learning Model saved in .rds file (R)

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I have a very large machine learning model that I have saved using the saveRDS() function. The total file size is over 300K+ KB and reading it into R takes 20+ seconds. Is there a faster way to load this file into R?

I did set compression = FALSE and it did help a little.

Is there a library like data.table which is very fast when reading .csv and feather which is very fast when reading .feather files? I really appreciate any contributions.

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