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Source channel @githubtrending · Post #15385 · Jan 2

#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

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djangoproject

@djangoproject · Post #538 · 12/28/2017, 10:33 AM

https://pendulum.eustace.io/docs/ Python datetimes made easy. Supports Python 2.7+, 3.4+ and PyPy. Native #datetime instances are enough for basic cases but when you face more complex use-cases they often show limitations and are not so intuitive to work with. #Pendulum provides a cleaner and more easy to use API while still relying on the standard library. So it's still datetime but better.

djangoproject

@djangoproject · Post #186 · 10/14/2016, 03:57 AM

http://www.saltycrane.com/blog/2008/06/how-to-get-current-date-and-time-in/ Here is an example of how to get the current #date and #time using the #datetime module in Python: