Instructions to use AveroLabs/Sol with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AveroLabs/Sol with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="AveroLabs/Sol")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForTextToSpectrogram processor = AutoProcessor.from_pretrained("AveroLabs/Sol") model = AutoModelForTextToSpectrogram.from_pretrained("AveroLabs/Sol", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download speaker_embedding.npy from AveroLabs/Sol: direct link, hf CLI and curl.
- Browser
- Download file 2.18 kB
-
https://huggingface.co/AveroLabs/Sol/resolve/main/speaker_embedding.npy
- Command line
-
hf download hf://AveroLabs/Sol/speaker_embedding.npy
-
curl -L -o speaker_embedding.npy https://huggingface.co/AveroLabs/Sol/resolve/main/speaker_embedding.npy
2.18 kB
- Xet hash:
- e1731039c501a67e0e02141c2c91d27dfec0faef1b365336c076dedf9a3ff5c8
- Size of remote file:
- 2.18 kB
- SHA256:
- 55e29186e2af3db9014ca1b3fc7c51a14de1d36448fec1d63181f39b12336de1
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