Instructions to use suno/bark-small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use suno/bark-small with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="suno/bark-small")# Load model directly from transformers import AutoProcessor, AutoModelForTextToWaveform processor = AutoProcessor.from_pretrained("suno/bark-small") model = AutoModelForTextToWaveform.from_pretrained("suno/bark-small", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3100eaf2a317f81539f1546b80c07d41e43d140fb28106d1056d93c1183cea50
- Size of remote file:
- 3.55 kB
- SHA256:
- 412b3a1f45525390e84bd2109bb86af782da2245adcbdd8803c1b362a311075c
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