Instructions to use SHENMU007/neunit_BASE_V10.1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SHENMU007/neunit_BASE_V10.1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-audio", model="SHENMU007/neunit_BASE_V10.1")# Load model directly from transformers import AutoProcessor, AutoModelForTextToSpectrogram processor = AutoProcessor.from_pretrained("SHENMU007/neunit_BASE_V10.1") model = AutoModelForTextToSpectrogram.from_pretrained("SHENMU007/neunit_BASE_V10.1") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5fed482da281e8558d30a50f616d369baa29830333b17d7a8d99b79b91f9890f
- Size of remote file:
- 4.16 kB
- SHA256:
- 2e2bf6a281261e4298c6acf51a7f6c6651e8e9f7cdf263acabd0eaf16683cf60
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