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I found this interesting link in paper, so this can be used as ready code for RMT Transformer

https://github.com/booydar/t5-experiments/tree/scaling-repor...


Whisper JAX is an optimised implementation of the Whisper model by OpenAI. It runs on JAX with a TPU v4-8 in the backend. Compared to PyTorch on an A100 GPU, it is over 70x faster, making it the fastest Whisper API available.


how does it compare to whisper.cpp?


Not a good comparison. CPU vs TPU. Also, whisper.cpp perf varies a ton depending on hardware. Avx512 or neural engine?


70 times faster


WTH1!!!


thanks


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