Instructions to use yefengzi/bark-small-fork with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use yefengzi/bark-small-fork with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="yefengzi/bark-small-fork")# Load model directly from transformers import AutoProcessor, AutoModelForTextToWaveform processor = AutoProcessor.from_pretrained("yefengzi/bark-small-fork") model = AutoModelForTextToWaveform.from_pretrained("yefengzi/bark-small-fork") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fdbad267848427dbb5153817e9437c1cbaa8f4ca1af8998c2b667a9cf82569cf
- Size of remote file:
- 1.68 GB
- SHA256:
- f0f7f16b24f65789ce42b3c491aa6a1cdf219f7ef425066fcd194485245e65d9
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