Thank you!
Kirill
hypothetical
AI & ML interests
DNNs, differential geometry, algebraic topology, cryptography
Recent Activity
liked
a model
about 3 hours ago
TheStageAI/Elastic-Wan2.2-T2V-A14B-Diffusers
published
a model
about 3 hours ago
TheStageAI/Elastic-Wan2.2-T2V-A14B-Diffusers
liked
a model
about 17 hours ago
neuphonic/neutts-nano
Organizations
replied to
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6 days ago
reacted to
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7 days ago
Post
1968
We have updated our transcription model:
TheStageAI/thewhisper-large-v3-turbo
– 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
-
- 2 replies
posted
an
update
7 days ago
Post
1968
We have updated our transcription model:
TheStageAI/thewhisper-large-v3-turbo
– 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
-
-
- 2 replies
posted
an
update
about 1 month ago
Post
261
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
TheStageAI/ANNA-LLM
TheStageAI/ANNA-LLM
- 3 replies