Instructions to use SHENMU007/neunit_BASE_V10.19 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SHENMU007/neunit_BASE_V10.19 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-audio", model="SHENMU007/neunit_BASE_V10.19")# Load model directly from transformers import AutoProcessor, AutoModelForTextToSpectrogram processor = AutoProcessor.from_pretrained("SHENMU007/neunit_BASE_V10.19") model = AutoModelForTextToSpectrogram.from_pretrained("SHENMU007/neunit_BASE_V10.19") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 59b959ffd9c0a7c2332d1a23de3b2e4cdcced1188e8f58f91894bb3c08aab783
- Size of remote file:
- 4.16 kB
- SHA256:
- ee4a84887b72424905d6bfa22b86ef68c68f9854098c1b5489ff8c5ef1e12cdd
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