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It’s an encoder-decoder transformer trained on audio (language?) and transcription.

Seems kinda weird for it not to meet the definition in a tautological way even if it’s not the typical sense or doesn’t tend to be used for autoregressive token generation?



Is it Transformer-based? If not then it's a different beast architecturally.

Audio models tend to be based more on convolutional layers than Transformers in my experience.


The openai/whisper repo and paper referenced by the model card seem to be saying it's transformer based.




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