I usually confuse between data-driven and data-oriented. So data-driven development is not the same as data-oriented programming, is it?
vi21
I'm not going to use this name, but it is the most accurate one.
of the same package on Flathub the main ones i had issues with was Kdenlive, Zoom, and OBS.
It means I probably won't fix bugs.
I hosted it on Codeberg https://codeberg.org/veer66/flatswitch/commit/c9f14155b3e6e6a9d0ca92443d8d827a80fd73f5
I'm not sure what version control implies in this case. Still, we can downgrade version of packages that we installed by Flatpak.
flatswitch
I love this name.
If they used UTF-8 internally, they wouldn't need 4 versions of the split function.
case PyUnicode_1BYTE_KIND:
if (PyUnicode_IS_ASCII(self))
return asciilib_split_whitespace(
self, PyUnicode_1BYTE_DATA(self),
len1, maxcount
);
else
return ucs1lib_split_whitespace(
self, PyUnicode_1BYTE_DATA(self),
len1, maxcount
);
case PyUnicode_2BYTE_KIND:
return ucs2lib_split_whitespace(
self, PyUnicode_2BYTE_DATA(self),
len1, maxcount
);
case PyUnicode_4BYTE_KIND:
return ucs4lib_split_whitespace(
self, PyUnicode_4BYTE_DATA(self),
len1, maxcount
);
[Longer version]
Thanks to Common Voice contributors, Mozilla and @[email protected] , now we have a Wav2vec2 model for recognizing Thai speech available by training a wav2vec2 model on the Common Voice dataset. Now, I can use the model to convert my speech to text on the Huggingface website. It works accurately. I love it.
However, using speech-to-text on the Huggingface website seems to be for testing. I want to use it instead of typing on LibreOffice or Firefox. I did some explorations, but I didn't find anything that I could use.
Is there any speech recognition software on GNU/Linux which will work with a wav2vec2 model?
Last year, my laptop computer went silent after installing Fedora 35 with Pipewire.
I have no idea about monero and zcash. I like the Tezos Defi ecosystem and its governance.
With a low transfer fee
No, I haven't.