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 tokenizer.json from suno/bark: direct link, hf CLI and curl.
- Browser
- Download file 2.92 MB
-
https://huggingface.co/suno/bark/resolve/main/tokenizer.json
- Command line
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hf download hf://suno/bark/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/suno/bark/resolve/main/tokenizer.json
2.92 MB
File too large to display, you can check the raw version instead.