Instructions to use SHENMU007/neunit_BASE_V5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SHENMU007/neunit_BASE_V5 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-audio", model="SHENMU007/neunit_BASE_V5")# Load model directly from transformers import AutoProcessor, AutoModelForTextToSpectrogram processor = AutoProcessor.from_pretrained("SHENMU007/neunit_BASE_V5") model = AutoModelForTextToSpectrogram.from_pretrained("SHENMU007/neunit_BASE_V5", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 10eea86d2c8eaff1f73d3a8528dfbd9bed726fe759cf2c8d8bcb99d57dc71a82
- Size of remote file:
- 4.09 kB
- SHA256:
- 2aebd95a60480c78a97f15bd9230ac2e5a1c9d9bcda2b50ab481af1fd00f4776
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