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
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# Bark
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This is the official codebase for running the text to audio model, from Suno.ai.
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The following is additional information about the models released here.
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# Bark
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This is the official codebase for running the text to audio model, from [Suno.ai](www.suno.ai).
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The original github repo and model card can be found [here](https://github.com/suno-ai/bark)
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The following is additional information about the models released here.
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