Instructions to use ylacombe/bark-small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ylacombe/bark-small with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="ylacombe/bark-small")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForTextToWaveform processor = AutoProcessor.from_pretrained("ylacombe/bark-small") model = AutoModelForTextToWaveform.from_pretrained("ylacombe/bark-small", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from ylacombe/bark-small: direct link, hf CLI and curl.
- Browser
- Download file 2.92 MB
-
https://huggingface.co/ylacombe/bark-small/resolve/refs%2Fpr%2F13/tokenizer.json
- Command line
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hf download hf://ylacombe/bark-small@refs/pr/13/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/ylacombe/bark-small/resolve/refs%2Fpr%2F13/tokenizer.json
2.92 MB
File too large to display, you can check the raw version instead.