Instructions to use SHENMU007/neunit_BASE_V10.6 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SHENMU007/neunit_BASE_V10.6 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-audio", model="SHENMU007/neunit_BASE_V10.6")# Load model directly from transformers import AutoProcessor, AutoModelForTextToSpectrogram processor = AutoProcessor.from_pretrained("SHENMU007/neunit_BASE_V10.6") model = AutoModelForTextToSpectrogram.from_pretrained("SHENMU007/neunit_BASE_V10.6") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1f018f650e780bb90912acd86c115a1fe988bba46404e9754b91aa4129a6d018
- Size of remote file:
- 4.16 kB
- SHA256:
- 795c11b754f2b804038ab8d2a402d6f044894e5d8fe67f1853e729671ac8993e
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