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 model.safetensors from itriedcoding/Sol: direct link, hf CLI and curl.
- Browser
- Download file 578 MB
-
https://huggingface.co/itriedcoding/Sol/resolve/main/model.safetensors
- Command line
-
hf download hf://itriedcoding/Sol/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/itriedcoding/Sol/resolve/main/model.safetensors
578 MB
- Xet hash:
- fc41c908921d1f81bdd9b3646b81f95fccb262405a052497e9365683d5c8057f
- Size of remote file:
- 578 MB
- SHA256:
- 20f16961a19032a926320e405a45f7d893c700e145f93f477a7cea7ad2bd213b
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