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
Large Models
#33
by Vitrous - opened
Hei, are the large models also limited to only 14 seconds audio output. And is there a possibility of retraining or fine tunning to extend Output length of the audio generated
https://github.com/suno-ai/bark/blob/main/notebooks/long_form_generation.ipynb
this notebook should be helpful to you.