Instructions to use suno/bark with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use suno/bark with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="suno/bark")# Load model directly from transformers import AutoProcessor, AutoModelForTextToWaveform processor = AutoProcessor.from_pretrained("suno/bark") model = AutoModelForTextToWaveform.from_pretrained("suno/bark") - Notebooks
- Google Colab
- Kaggle
fix typo in link to bark library
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by bwallace - opened
README.md
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## Suno Usage
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You can also run Bark locally through the original [Bark library](
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1. First install the [`bark` library](https://github.com/suno-ai/bark)
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## Suno Usage
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You can also run Bark locally through the original [Bark library](https://github.com/suno-ai/bark):
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1. First install the [`bark` library](https://github.com/suno-ai/bark)
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