Best Way to Transcribe Audio and Video with Python and Whisper-MLX ASR

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whisper-mlx repo: github.com/ml-...
steps:
1) clone repository
2) move into the directory
3) pip install -r requirements.txt
4) brew install ffmpeg (if necessary)
5) python convert.py --torch-name-or-path tiny --mlx-path mlx_models/tiny
MLX HuggingFace Community: huggingface.co...
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Опубликовано:

3 окт 2024

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Комментарии : 9

@flyingzeppo 8 месяцев назад

I don't use Apple products, but I've used Whisper along with Python in the past. It's a great API. Also, I see that you've killed and beheaded the Abominable Snowman. Congrats. The villagers are safe now. 😊

@python-programming 8 месяцев назад

HAHAHAHA! I was fortunate to meet a trader of hand-made Romanian masks in the Carpathian mountains and purchased it a few months back. It's now one of my favorite things from my travels. I'm thinking about making a non-Apple version of this video in the near future.

@critical-chris 3 месяца назад

Interesting! I have been working with whisperX and whisper-timestamped on my MacBook so far and wasn't aware of MLX. Thanks for sharing! But since you emphasize the word level timestamps: with standard whisper those are known to be very inaccurate (i.e. pretty much unusable - whisper is simply not trained to predict timestamps). So, are you suggesting that timestamps in whisper-mlx are better?

@alir8zana635 7 месяцев назад

thank you for your videos you are really a great teacher your channel is a gem

@ersineser7610 8 месяцев назад

Thanks for sharing.

@python-programming 8 месяцев назад

Thanks for watching!

@mrtn5882 7 месяцев назад

Do you know which languages it speaks?

@andreamaral3537 8 месяцев назад

What about speaker diarization with mlx?

@python-programming 8 месяцев назад

Not yet, but I suspect that wil be a added soon. MLX is covering a wide ground right now, but over the next few months I expect that they will go deeper with that wide net both through their own work and community pull requests