– 6.00 WER on the English Open ASR Leaderboard – 4.74 WER on the Multilingual Open ASR Leaderboard – Beats NVIDIA Parakeet (6.34 WER) and Whisper-large-v3-turbo (7.8 WER) – Strong improvements in Arabic, Hindi, Chinese – Maintains quality with background and environmental noise – Optimized inference engines for NVIDIA and Apple – Hugging Face Transformers interface for easy use – Best-in-class speed on NVIDIA GPUs and power efficiency on Apple devices – NVIDIA Jetson Thor support
– 6.00 WER on the English Open ASR Leaderboard – 4.74 WER on the Multilingual Open ASR Leaderboard – Beats NVIDIA Parakeet (6.34 WER) and Whisper-large-v3-turbo (7.8 WER) – Strong improvements in Arabic, Hindi, Chinese – Maintains quality with background and environmental noise – Optimized inference engines for NVIDIA and Apple – Hugging Face Transformers interface for easy use – Best-in-class speed on NVIDIA GPUs and power efficiency on Apple devices – NVIDIA Jetson Thor support
Hello guys! Maybe someone want to test our framework for automated model's compression. Here is what can be produced with it. Move the slider - compress/accelerate model, select point which like and compile. I can give an access, we are now improving and collecting comments from users