I just came across the article "Whispering in Norwegian: Navigating Orthographic and Dialectic Challenges" Per E Kummervold, Javier de la
Rosa, Freddy Wetjen, Rolv-Arild Braaten and Per Erik Solberg, <URL:https://arxiv.org/pdf/2402.01917.pdf>.

I found this quote particularly interesting:

Although the original PyTorch training code was not released by
OpenAI, a collaborative effort with HuggingFace led to an alternative
implementation in the Transformers library. This has also been
adapted for Jax. The project participated in developing and
open-sourcing training scripts for TPU-v4-pods, enabling dynamic
changes to the training data during runtime (The National Library of
Norway, 2024).

The reference point to <URL: https://www.github.com/NbAiLab/nostram >.
I have not investigated further. Perhaps the alternative implementation
can be used to make a model from scratch and provide source for the
files requested by the ftpmasters?

Unrelated to this, there is an alternative implementation using the
whisper models called whisper.cpp, available from
<URL: https://github.com/ggerganov/whisper.cpp.git >. It might be
easier to package than the openai whisper implementation.

--
Happy hacking
Petter Reinholdtsen

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