Instructions to use SHENMU007/neunit_BASE_V5.1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SHENMU007/neunit_BASE_V5.1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-audio", model="SHENMU007/neunit_BASE_V5.1")# Load model directly from transformers import AutoProcessor, AutoModelForTextToSpectrogram processor = AutoProcessor.from_pretrained("SHENMU007/neunit_BASE_V5.1") model = AutoModelForTextToSpectrogram.from_pretrained("SHENMU007/neunit_BASE_V5.1") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 112f40bf9bea41eb943a99a4fec8e2695b619244052c92707aa416684618f206
- Size of remote file:
- 585 MB
- SHA256:
- e81e653917b56d8e9877763f83dba5336a3b448cf9f2c328d112a2cb2adac995
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