Instructions to use SHENMU007/neunit_BASE_V5.2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SHENMU007/neunit_BASE_V5.2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-audio", model="SHENMU007/neunit_BASE_V5.2")# Load model directly from transformers import AutoProcessor, AutoModelForTextToSpectrogram processor = AutoProcessor.from_pretrained("SHENMU007/neunit_BASE_V5.2") model = AutoModelForTextToSpectrogram.from_pretrained("SHENMU007/neunit_BASE_V5.2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0715d1224bfc2afcf29795bcb4a9ee1364936b5e1155ea76efafc81e630f330b
- Size of remote file:
- 4.09 kB
- SHA256:
- 4787cba5a5c8a496bb4b95ab76ed0b5d6489f25fe2b0d5af4e925a1ace03482d
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