I dont understand how the new owner of the stock can ”re-short” it. Could you maybe explain? :)
See page 7 of the paper. You give the model instruction such as "Translate from X to Y" then you pass examples (if you go for few shot) followed by the sentence you want to translate.
You can find a leaderboard here: https://paperswithcode.com/sota/speech-recognition-on-libris... It seems like sota is 2.20% word error rate
Shouldn't [0,2,1] = 5 on page 17 and not 2? Or do i misunderstand how pytorch handle tensors?
I dont understand how the new owner of the stock can ”re-short” it. Could you maybe explain? :)
See page 7 of the paper. You give the model instruction such as "Translate from X to Y" then you pass examples (if you go for few shot) followed by the sentence you want to translate.
You can find a leaderboard here: https://paperswithcode.com/sota/speech-recognition-on-libris... It seems like sota is 2.20% word error rate
Shouldn't [0,2,1] = 5 on page 17 and not 2? Or do i misunderstand how pytorch handle tensors?