Instructions to use reach-vb/bark-endpoint with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use reach-vb/bark-endpoint with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="reach-vb/bark-endpoint")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForTextToWaveform processor = AutoProcessor.from_pretrained("reach-vb/bark-endpoint") model = AutoModelForTextToWaveform.from_pretrained("reach-vb/bark-endpoint", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download coarse.pt from reach-vb/bark-endpoint: direct link, hf CLI and curl.
- Browser
- Download file 1.25 GB
-
https://huggingface.co/reach-vb/bark-endpoint/resolve/main/coarse.pt
- Command line
-
hf download hf://reach-vb/bark-endpoint/coarse.pt
-
curl -L -o coarse.pt https://huggingface.co/reach-vb/bark-endpoint/resolve/main/coarse.pt
1.25 GB
- Xet hash:
- 35c439dd8cddfc6909f6ac07ca77836bde6fae4b1f5a952f12bcb3988c53f35e
- Size of remote file:
- 1.25 GB
- SHA256:
- 110580140ce5319b5b26849e24378d7594eb75ad11e7203e3091a876a07e4536
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