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:
- 82fefa9eb6be641c3934f4335341b0ffaf332212b3205d4861bdbb55dab71012
- Size of remote file:
- 4.16 kB
- SHA256:
- d47ed03af19b47f57bb2682a37c0ad8a54f57d8a8b82a008f96d445bff46f437
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