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
Update license
#16
by sanchit-gandhi - opened
Updates the README license from CC-BY-NC -> MIT, reflecting the change to the EnCodec license
sanchit-gandhi changed pull request title from Update README.md to Update license
is bark MIT now?
is bark MIT now?
Yes it has been for a while, as claimed by the GitHub repo and the developers on Discord.