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
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:e20eb499af50943291ec9bce78b3c6f56ce7947cbc5b5e30388e0b24e9f963fc
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size 1676550440
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