Instructions to use SHENMU007/neunit_BASE_V4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SHENMU007/neunit_BASE_V4 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-audio", model="SHENMU007/neunit_BASE_V4")# Load model directly from transformers import AutoProcessor, AutoModelForTextToSpectrogram processor = AutoProcessor.from_pretrained("SHENMU007/neunit_BASE_V4") model = AutoModelForTextToSpectrogram.from_pretrained("SHENMU007/neunit_BASE_V4") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 11fa3e89b2d93ee83587679729d8e8ac5c8fb28ac7e11c0ae5623cb09e2de1bd
- Size of remote file:
- 585 MB
- SHA256:
- 5ec50453c6f3b4ddbb0bf756014577b7abe980d3a07678bfc103ff1956f61886
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