Instructions to use SHENMU007/neunit_BASE_V7 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SHENMU007/neunit_BASE_V7 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-audio", model="SHENMU007/neunit_BASE_V7")# Load model directly from transformers import AutoProcessor, AutoModelForTextToSpectrogram processor = AutoProcessor.from_pretrained("SHENMU007/neunit_BASE_V7") model = AutoModelForTextToSpectrogram.from_pretrained("SHENMU007/neunit_BASE_V7") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 64074d5bd2895c2c0526b71bac6091485c8d87f2f2e8079d19a9e9d1d60409b3
- Size of remote file:
- 585 MB
- SHA256:
- 8daf2cb0c56ba1aa32478872b32743bb1e8b6ffc03aaefe5704064194d57c7f3
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