Whisper JAX
Whisper JAX
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
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