Shree, thanks for the clarification.

Il giorno ven 3 mag 2019 alle ore 11:59 Shree Devi Kumar <
shreesh...@gmail.com> ha scritto:

> >There are three model sizes: best, normal and fast. Each of these can
> also be converted to an integer model.
>
> Only `best` can be converted to integer and in fact the LSTM models in
> `tessdata` are the integer versions of best along with the base/legacy
> models.
>
> `fast` models have been trained with a smaller network spec compared to
> `best` and have been converted to integer.
>
> So, fast and normal are already integer. You can convert `best` to integer
> (that file will be smaller than `normal` because it does not have
> base/legacy model(.
>
> >maybe you are including less files than the original (other then the
> neural network model itself).
>
> If you do not use wordlist, numbers and punc file then the dawgs will not
> be built. Some traineddata files are really large because of these.
>
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