Instructions to use SHENMU007/neunit_BASE_V10.16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SHENMU007/neunit_BASE_V10.16 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-audio", model="SHENMU007/neunit_BASE_V10.16")# Load model directly from transformers import AutoProcessor, AutoModelForTextToSpectrogram processor = AutoProcessor.from_pretrained("SHENMU007/neunit_BASE_V10.16") model = AutoModelForTextToSpectrogram.from_pretrained("SHENMU007/neunit_BASE_V10.16") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 160e240df6708fd9476765e18e4579e00ecc1d5c5d30490bcde534c8381ba2f1
- Size of remote file:
- 4.16 kB
- SHA256:
- 1886bb0ed46dcc0bf0a338f67cdd3a537580a8d8b186b0b9359f47aff9dccca2
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