Instructions to use suno/bark with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use suno/bark with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="suno/bark")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForTextToWaveform processor = AutoProcessor.from_pretrained("suno/bark") model = AutoModelForTextToWaveform.from_pretrained("suno/bark", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download coarse_2.pt from suno/bark: direct link, hf CLI and curl.
- Browser
- Download file 3.93 GB
-
https://huggingface.co/suno/bark/resolve/main/coarse_2.pt
- Command line
-
hf download hf://suno/bark/coarse_2.pt
-
curl -L -o coarse_2.pt https://huggingface.co/suno/bark/resolve/main/coarse_2.pt
3.93 GB
- Xet hash:
- a7c3036630b2a117f862724e6f2aadcc0bac9cfb484e1702644e5b6e3f4a0e2f
- Size of remote file:
- 3.93 GB
- SHA256:
- 286abc253d4d7f4d148325df07585f7ca4fca36ce40577a1ddd744a8b35e4388
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