Instructions to use SHENMU007/neunit_BASE_V9.5.17 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SHENMU007/neunit_BASE_V9.5.17 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-audio", model="SHENMU007/neunit_BASE_V9.5.17")# Load model directly from transformers import AutoProcessor, AutoModelForTextToSpectrogram processor = AutoProcessor.from_pretrained("SHENMU007/neunit_BASE_V9.5.17") model = AutoModelForTextToSpectrogram.from_pretrained("SHENMU007/neunit_BASE_V9.5.17", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from SHENMU007/neunit_BASE_V9.5.17: direct link, hf CLI and curl.
- Browser
- Download file 4.28 kB
-
https://huggingface.co/SHENMU007/neunit_BASE_V9.5.17/resolve/main/training_args.bin
- Command line
-
hf download hf://SHENMU007/neunit_BASE_V9.5.17/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/SHENMU007/neunit_BASE_V9.5.17/resolve/main/training_args.bin
4.28 kB
- Xet hash:
- dd93f64b083284b0b9be7dbe9e5c6c04995ecf3a1d25698fb53db4656136c110
- Size of remote file:
- 4.28 kB
- SHA256:
- 77dff75868be6c70feca40ad877732358375df1dcfc763b0d15effa3c88f76b0
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