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
Commit History
6 days ago
-
Add model card for Sol
Verified signature795315f -
Add fine-tuned Sol weights and tokenizer
Verified signatureae5b267 -
Add example audio outputs
Verified signature11f7078 -
Add model card for Sol
Verified signature22bd33d -
Add fine-tuned Sol weights and tokenizer
Verified signature0d8044a -
Add example audio outputs
Verified signaturec0da134 -
Add model card for Sol
Verified signatureecd462c -
initial commit
Verified signature849b6b2