Instructions to use SHENMU007/neunit0425_v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SHENMU007/neunit0425_v1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-audio", model="SHENMU007/neunit0425_v1")# Load model directly from transformers import AutoProcessor, AutoModelForTextToSpectrogram processor = AutoProcessor.from_pretrained("SHENMU007/neunit0425_v1") model = AutoModelForTextToSpectrogram.from_pretrained("SHENMU007/neunit0425_v1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2f186df5547793553ce69647cafddf8322fdd21d3c56bbb56a2e0c02976db9cc
- Size of remote file:
- 4.09 kB
- SHA256:
- 6a719d38a85e0b7f5f6e756919bcc8fa422b9acf4e00cb56f0bb7c13495bb6dd
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