asusdisciple

I stumbled upon this thread after benchmarking insanely-fast-whisper, seamless-m4t-v2, faster-whisper and the hugginface implementation of whisper based on transformers pipeline with bettertransformers. I found a bug related to the this...

Yeah I found a high level explanation, but to my knowledge it is still necessary to train all the models because the codebook apparently does not exist anymore. I do...

Ah I see I found the repo I think. I have access to a few a100 and will try to train and/or fine tune the tortoise model on my native...

Got the same error, when trying to compute a confusion matrix on a `callback` when I call `metric.plot()`: ``` def on_test_epoch_end(self) -> None: metric = MulticlassConfusionMatrix(num_classes=self.num_classes).to("cpu") outputs = torch.cat(self.x_test, dim=0).to("cpu")...

Oh I see thanks for the clarification. However is there any way to set the target language to the source language for ASR? For example when I do not want...

Also if I may add: Unfortunately none of the MMS versions includes all of the languages in m4t-v2. These languages are not supported by MMS, which makes it kinda hard...