Instructions to use skroed/bark-small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use skroed/bark-small with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="skroed/bark-small")# Load model directly from transformers import AutoProcessor, AutoModelForTextToWaveform processor = AutoProcessor.from_pretrained("skroed/bark-small") model = AutoModelForTextToWaveform.from_pretrained("skroed/bark-small") - Notebooks
- Google Colab
- Kaggle
Commit History
fix: just return dict 559b8b3
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Add: Code example in README 925d62f
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Update: Readme 40d197d
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Fix: endpoint passing speaker. 1c28486
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Fix: handler. e1735f5
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Remove: requirements.txt 288e1c4
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