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whisper-jax
Jupyter Notebook

whisper-jax

JAX implementation of OpenAI's Whisper model for up to 70x speed-up on TPU.

by sanchit-gandhi · GitHub
4.7k
Stars
413
Forks
Apache-2.0
License
2023
Created
2 yr ago
Last commit
deep-learning
Category
Jupyter Notebook
Language
deep-learningjaxspeech-recognitionApache-2.0Jupyter Notebook
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In plain words

Transcribe audio to text quickly using an optimized version of OpenAI's Whisper model.

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2026-07-042026-08-31
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📄 About

JAX implementation of OpenAI's Whisper model for up to 70x speed-up on TPU.

whisper-jax has 4.7k stars on GitHub. It has been forked 413 times. whisper-jax is written mainly in Jupyter Notebook. It has been in active development since 2023. whisper-jax is available under the Apache-2.0 license. Its main topics are deep-learning, jax, speech-recognition, speech-to-text.

❓ Frequently asked questions

What is whisper-jax?

JAX implementation of OpenAI's Whisper model for up to 70x speed-up on TPU.

Is whisper-jax open source?

whisper-jax is an open-source project. It is released under the Apache-2.0 license.

Is whisper-jax free?

Yes. whisper-jax is free and open source — you can use, modify and self-host it.

What license does whisper-jax use?

whisper-jax is available under the Apache-2.0 license.

What language is whisper-jax written in?

whisper-jax is written mainly in Jupyter Notebook.

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