Instructions to use SHENMU007/neunit_BASE_V10.11 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SHENMU007/neunit_BASE_V10.11 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-audio", model="SHENMU007/neunit_BASE_V10.11")# Load model directly from transformers import AutoProcessor, AutoModelForTextToSpectrogram processor = AutoProcessor.from_pretrained("SHENMU007/neunit_BASE_V10.11") model = AutoModelForTextToSpectrogram.from_pretrained("SHENMU007/neunit_BASE_V10.11") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9c61ccb338bf3cebfb757b4b440e4bef1158336018561c49761c781c9e9195f7
- Size of remote file:
- 585 MB
- SHA256:
- c9f941486af822a9b2d8ac4646d13f51889b9e8359ff8bcbcd6e6f68884f2c44
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