Instructions to use SHENMU007/neunit0425_base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SHENMU007/neunit0425_base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-audio", model="SHENMU007/neunit0425_base")# Load model directly from transformers import AutoProcessor, AutoModelForTextToSpectrogram processor = AutoProcessor.from_pretrained("SHENMU007/neunit0425_base") model = AutoModelForTextToSpectrogram.from_pretrained("SHENMU007/neunit0425_base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- db22bd021a25194d41d4bf63486f4aee88c90a4437eed66e930e32865fbab9be
- Size of remote file:
- 4.09 kB
- SHA256:
- 2bf190d0f3299701910dff1683b4e21fb0255cc7182bd8da3fd954fd9eec8a60
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