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:
- 88fb1eb2d6d9df49b1f946dcb9ab0dd57917f743bf82fe43b61eac59981ae21c
- Size of remote file:
- 585 MB
- SHA256:
- b43465da52c48a8e0b4bdbf3a5d8403909c6e3953eea24811ced8ccd0c29cf10
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