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Embedding cost and model choice makes this a very compelling choice. I'm working on leveraging embeddings in https://github.com/discourse/discourse-ai where it powers offering related topics, semantic search, tag and category recommendations among other things.
A cheap offering like this can make it a lot more reasonable for self-hosters.
Whisper large is only 1.5B params, why not run it client side with something like https://github.com/FL33TW00D/whisper-turbo
(Disclaimer: I am the author)
Serverless only works if the cold boot is fast. For context, my company runs a serverless cloud GPU product called https://beam.cloud, which we've optimized for fast cold start. We see Whisper in production cold start in under 10s (across model sizes). A lot of our users are running semi-real time STT, and this seems to be working well for them.
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