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 examples/cpu.wav from AveroLabs/Sol: direct link, hf CLI and curl.
- Browser
- Download file 164 kB
-
https://huggingface.co/AveroLabs/Sol/resolve/main/examples/cpu.wav
- Command line
-
hf download hf://AveroLabs/Sol/examples/cpu.wav
-
curl -L -o cpu.wav https://huggingface.co/AveroLabs/Sol/resolve/main/examples/cpu.wav
164 kB
- Xet hash:
- 58e94f3ce6a8fdf1d91c9d85dadbcc49561376c0d782492a02b13a12fb05eec4
- Size of remote file:
- 164 kB
- SHA256:
- 5d6fe15c0c084d86096d2a93c4eda0f7af2cacccdae77e243a69a67c8b64486b
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