Instructions to use ACE-Step/acestep-transcriber with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ACE-Step/acestep-transcriber with Transformers:
# Load model directly from transformers import AutoProcessor, AutoModelForTextToWaveform processor = AutoProcessor.from_pretrained("ACE-Step/acestep-transcriber") model = AutoModelForTextToWaveform.from_pretrained("ACE-Step/acestep-transcriber") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 05985a8a6e2d03fc217aeac120a0d832e368ec563d12500b32e18b30eadaf9c0
- Size of remote file:
- 4.99 GB
- SHA256:
- 46411d523112e6537f0d22f3189af88f5149432f8353d5ac3458ced8fb49cbf8
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