Instructions to use BasketTechologies/bark with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BasketTechologies/bark with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="BasketTechologies/bark")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForTextToWaveform processor = AutoProcessor.from_pretrained("BasketTechologies/bark") model = AutoModelForTextToWaveform.from_pretrained("BasketTechologies/bark", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Duplicate from suno/bark
Co-authored-by: Vaibhav Srivastav <reach-vb@users.noreply.huggingface.co>5ace9e2