#python#deep_learning#inference#openai#quantization#speech_recognition#speech_to_text#transformer#whisper
Faster-Whisper is a fast version of OpenAI's Whisper that transcribes audio up to 4x quicker with the same accuracy, using less memory on CPU or GPU—benchmarks show it beats original Whisper (e.g., 1m03s vs 2m23s for 13-min audio on GPU). Install via `pip install faster-whisper`, no FFmpeg needed, and use simple Python code like `WhisperModel("large-v3").transcribe("audio.mp3")` for segments with timestamps. You benefit by getting quick, efficient speech-to-text for real-time apps, saving time and resources on long files or batches.
https://github.com/SYSTRAN/faster-whisper
#TIL – MILLAT KO‘RKI
21-oktyabr – o‘zbek tili bayrami kuni barchamizga muborak bo‘lsin!
O‘zlikni anglash, milliy ong va tafakkurning ifodasi, avlodlar o‘rtasidagi ruhiy-ma’naviy bog‘liqlik til orqali namoyon bo‘ladi. Jamiki ezgu fazilatlar inson qalbiga, avvalo, ona allasi, ona tilining betakror jozibasi bilan singadi.
Ona tili – bu millatning ruhidir.
Sizlarni yurtimiz tarixidagi muhim sanalardan biri – O‘zbek tili bayrami kuni bilan chin qalbdan muborakbod etamiz!
Ushbu ulug‘ bayram barchamizga quvonch, faxr va g‘urur ulashsin! Ona tilimiz abadiy yashasin, doimo barhayot bo‘lsin!
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#TIL there are laws mandate the use of a specific font.
[... A]ny text that is displayed on a primary package or secondary package, or on any overwrap covering the package, must [...] be printed in a regular weight and width Lucida Sans Serif font style, without italics, and in gray.
https://gazette.gc.ca/rp-pr/p2/2019/2019-05-01/html/sor-dors107-eng.html🐟