Instructions to use SHENMU007/neunit_BASE_V10.3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SHENMU007/neunit_BASE_V10.3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-audio", model="SHENMU007/neunit_BASE_V10.3")# Load model directly from transformers import AutoProcessor, AutoModelForTextToSpectrogram processor = AutoProcessor.from_pretrained("SHENMU007/neunit_BASE_V10.3") model = AutoModelForTextToSpectrogram.from_pretrained("SHENMU007/neunit_BASE_V10.3") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8409a7d72dd0602f9db1cb067c7e8d518ffd41b112583c0c0eee08c0b6faadb4
- Size of remote file:
- 585 MB
- SHA256:
- 3dee86ce7a9c73c074b42a603a458dda7c461cd1a869fbd6b27c27d35fd337ce
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