Instructions to use itriedcoding/Sol with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use itriedcoding/Sol with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="itriedcoding/Sol")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForTextToSpectrogram processor = AutoProcessor.from_pretrained("itriedcoding/Sol") model = AutoModelForTextToSpectrogram.from_pretrained("itriedcoding/Sol", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download examples/listen.wav from itriedcoding/Sol: direct link, hf CLI and curl.
- Browser
- Download file 139 kB
-
https://huggingface.co/itriedcoding/Sol/resolve/main/examples/listen.wav
- Command line
-
hf download hf://itriedcoding/Sol/examples/listen.wav
-
curl -L -o listen.wav https://huggingface.co/itriedcoding/Sol/resolve/main/examples/listen.wav
139 kB
- Xet hash:
- 78f60477de265d291e28781c26cd3d16cd6ad1d12b2ab18a83ca7682dc4107a3
- Size of remote file:
- 139 kB
- SHA256:
- e2650f0dab7fbe2228c27dea1986804fe31322ce6c19398ddd1d18e29e1c4353
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