Instructions to use SHENMU007/neunit_BASE_V3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SHENMU007/neunit_BASE_V3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-audio", model="SHENMU007/neunit_BASE_V3")# Load model directly from transformers import AutoProcessor, AutoModelForTextToSpectrogram processor = AutoProcessor.from_pretrained("SHENMU007/neunit_BASE_V3") model = AutoModelForTextToSpectrogram.from_pretrained("SHENMU007/neunit_BASE_V3") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 93291f02a9b5f21d81f7b1116c2f00de74ff5b03b4cc310339ce14cc06deec5c
- Size of remote file:
- 4.09 kB
- SHA256:
- 78693c3ddc807337d59bf21e6382bf697ad71a66809d5236ca40129ca65aa47d
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