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
Add example audio outputs
Browse files- .gitattributes +6 -0
- examples/about.mp3 +0 -0
- examples/about.wav +3 -0
- examples/ai.mp3 +0 -0
- examples/ai.wav +3 -0
- examples/cpu.mp3 +0 -0
- examples/cpu.wav +3 -0
- examples/hello.mp3 +0 -0
- examples/hello.wav +3 -0
- examples/listen.mp3 +0 -0
- examples/listen.wav +3 -0
- examples/pangram.mp3 +0 -0
- examples/pangram.wav +3 -0
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