Instructions to use SHENMU007/neunit_BASE_V10.9 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SHENMU007/neunit_BASE_V10.9 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-audio", model="SHENMU007/neunit_BASE_V10.9")# Load model directly from transformers import AutoProcessor, AutoModelForTextToSpectrogram processor = AutoProcessor.from_pretrained("SHENMU007/neunit_BASE_V10.9") model = AutoModelForTextToSpectrogram.from_pretrained("SHENMU007/neunit_BASE_V10.9") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cb04fa04b6efc781083bbb116deff0ee7d3896147f4077ff3ce86ccc500f0ae5
- Size of remote file:
- 585 MB
- SHA256:
- 33edb9550d65ed8343de160524bf3acd02763add28b64f44ef2c623d46a6df30
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