Instructions to use SHENMU007/neunit_BASE_V7.6 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SHENMU007/neunit_BASE_V7.6 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-audio", model="SHENMU007/neunit_BASE_V7.6", device_map="auto")# Load model directly from transformers import AutoProcessor, AutoModelForTextToSpectrogram processor = AutoProcessor.from_pretrained("SHENMU007/neunit_BASE_V7.6") model = AutoModelForTextToSpectrogram.from_pretrained("SHENMU007/neunit_BASE_V7.6", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e4e56ce602de160d341035e94b39b7fe74da922a38bb9daa204887247824d2b3
- Size of remote file:
- 585 MB
- SHA256:
- 1ceebcd16f070aa06c09df701f28dac40f21c292b36c234292a20310ec3059de
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