Closed Subuday closed 3 months ago
Okay, I was using incorrect version of vector_quantize_pytorch.
The correct fine is specified in settings.ini
file.
Yeah, that's unfortunate. It would probably make sense to update the checkpoint and use the newest version of vector_quantize_pytorch
since AFAIR the math did not change at all, just the layer names.
Maybe we could do it when we start working on new languages @zoq ?
It looks like architecture of RQBottleneckTransformer has been changed, but model has not been retrained/reuploaded. So trying to load RQBottleneckTransformer using
vq_model = vq_stoks.RQBottleneckTransformer.load_model(ref="collabora/whisperspeech:whisper-vq-stoks-medium-en+pl.model").cuda()
leads to error: