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")# pip install -U transformers accelerate # 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
Commit History
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Adding `safetensors` variant of this model
This is an automated PR created with https://huggingface.co/spaces/safetensors/convert This new file is equivalent to `pytorch_model.bin` but safe in the sense that no arbitrary code can be put into it. These files also happen to load much faster than their pytorch counterpart: https://colab.research.google.com/github/huggingface/notebooks/blob/main/safetensors_doc/en/speed.ipynb The widgets on your model page will run using this model even if this is not merged making sure the file actually works. If you find any issues: please report here: https://huggingface.co/spaces/safetensors/convert/discussions Feel free to ignore this PR.7c20d05
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Update license (#3)
- Update license (19ebdb981908ebe3b11c18a1c6496ac9fd71320c) Co-authored-by: Sanchit Gandhi <sanchit-gandhi@users.noreply.huggingface.co>515c2dd
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Update README.md (#2)
- Update README.md (62e35d464ce581ff74de0739a16696ef7d9ee9df) Co-authored-by: ISWAR PATEL <iswarpatel@users.noreply.huggingface.co>7063a1b
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Update README.md
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Duplicate from ylacombe/bark-small
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