Whisper JAX

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Optimised implementation of the Whisper model

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Pricing

Free

About Whisper JAX

Whisper JAX is a highly efficient version of the Whisper model developed by OpenAI. It is designed to operate on JAX with a TPU v4-8 in the backend. When compared to PyTorch on an A100 GPU, Whisper JAX is more than 70 times faster, making it the quickest Whisper API currently available.

Key Features

6 features

Whisper JAX is an AI tool that offers fast performance, with over 70x faster speed than PyTorch on an A100 GPU.
It is optimized for maximum efficiency, built on JAX with a TPU v4-8.
Whisper JAX provides accurate transcription of audio files.
Users can track the progress of transcription through a progress bar.
To skip the queue, users can create their own inference endpoint using the Whisper JAX repository.
Whisper JAX can be used for transcribing audio files quickly and accurately, improving the efficiency of transcription services, and streamlining the transcription process for businesses and individuals.

Use Cases

3 use cases

Fast and precise transcription of audio files
Enhancing the productivity of transcription services
Simplifying the transcription procedure for both individuals and companies

Other Features

Open Source
API

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