
whisper-jax ·
What is it
Whisper JAX is an improved implementation of the Whisper model by OpenAI. It uses JAX with a TPU v4-8, making it over 70 times faster than PyTorch on an A100 GPU.
Key features
- Fast performance
- Optimized implementation
- Accurate transcription
- Progress bar
- Create your own inference endpoint
Pros
- 70x faster than PyTorch on an A100 GPU
- Built on JAX with a TPU v4-8 for maximum efficiency
- Provides accurate transcription of audio files
- Displays progress of transcription through a progress bar
- Users can create their own inference endpoint to skip the queue
Use cases
- Transcribing audio files quickly and accurately
- Improving the efficiency of transcription services
- Streamlining the transcription process for businesses and individuals