Instructions to use skroed/bark with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use skroed/bark with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="skroed/bark")# Load model directly from transformers import AutoProcessor, AutoModelForTextToWaveform processor = AutoProcessor.from_pretrained("skroed/bark") model = AutoModelForTextToWaveform.from_pretrained("skroed/bark") - Notebooks
- Google Colab
- Kaggle
Commit History
fix: just return dict 09c5b6d
skroed commited on
Add: Code example in README 71c2800
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Update: Readme e6082f5
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Fix: endpoint passing speaker. c2293d7
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