Instructions to use SHENMU007/neunit_BASE with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SHENMU007/neunit_BASE with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-audio", model="SHENMU007/neunit_BASE")# Load model directly from transformers import AutoProcessor, AutoModelForTextToSpectrogram processor = AutoProcessor.from_pretrained("SHENMU007/neunit_BASE") model = AutoModelForTextToSpectrogram.from_pretrained("SHENMU007/neunit_BASE", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2753d378e3f2149ddd908686d132a3d155d27e5b1168bf0ea15f9f624419864a
- Size of remote file:
- 585 MB
- SHA256:
- adf43d58b8d102a5bb96dcbfa5f81dcf12c1caf4b233bca7e944cea1e2039c80
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