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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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@amazingeo · Post #630 · 02/13/2026, 08:31 PM
🌍 Tokyo’s Shinjuku train station is the world’s busiest, with over 3.5 million passengers passing through daily. Its vast underground networks are so complex that some exits are kilometers apart. ✨ #urbanization⚡#infrastructure⚡#transit⚡#geography⚡#nature⚡#earth 👉subscribe Amazing Geography 👉more Channels
@amazingeo · Post #87 · 08/21/2025, 03:12 AM
🌍 Tokyo’s rail system is so efficient that over 13 billion train trips are made each year within the city. This high-capacity network helps keep the world’s largest metropolitan area moving smoothly. ✨ #Tokyo⚡#transit⚡#urban⚡#geography⚡#nature⚡#earth 👉subscribe Amazing Geography🌍
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