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:
- e5b2a3fe18e8803522ccdbc1b3d030c578232d5a6465da47dd7ac7d0fe744d25
- Size of remote file:
- 585 MB
- SHA256:
- ccebaadd24ab2aed7f48951fcfe3ca5bedaea046e8fe5275dceb85d2e09dacf2
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