Instructions to use SHENMU007/neunit_BASE_V13.5.10 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SHENMU007/neunit_BASE_V13.5.10 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-audio", model="SHENMU007/neunit_BASE_V13.5.10")# Load model directly from transformers import AutoProcessor, AutoModelForTextToSpectrogram processor = AutoProcessor.from_pretrained("SHENMU007/neunit_BASE_V13.5.10") model = AutoModelForTextToSpectrogram.from_pretrained("SHENMU007/neunit_BASE_V13.5.10", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9444f87000ad5c2b1fd7b704fe9b56606d842b66c7cd12cf798a525a4b1f1286
- Size of remote file:
- 4.28 kB
- SHA256:
- 2bb43ff81e8eff998d0c14e708f17967800dcc825e09c5b6e835c0f5a555fe24
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