Did Meta add scalable rope to the official implementation?

Based on a comment buried in the source, this library seems to be heavily based on work by Kai Chang:

http://bl.ocks.org/syntagmatic/3150059

It’s a shame Kai isn’t created in the README, LICENSE, or announcement.

> Trained models: ...

I think I remember a similar thing happening with previous wav2letter releases.

I would love for a simple tutorial on just using a pretrained model but that feels unlikely to ever happen

On the list of things I always Google, is how to create a symbolic link under Linux. I just can't figure out a way to remember what comes first; the source or the destination. The man pages add to the confusion by calling the "source" the target. So, the rule of thumb I now follow is cp or mv semantics.

What surprised me most is the elegance of C++ API. Compared to its equivalence in Python, the C++ version is almost the same if we discard the "auto" keyword [0]. As mentioned in the doc, they put user-friendliness over micro-optimizations, which also proves the expressiveness of modern C++ (at least when they want to prioritize user-friendliness!) [0]: https://pytorch.org/cppdocs/frontend.html#end-to-end-example