Instructions to use SHENMU007/neunit_testv1.1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SHENMU007/neunit_testv1.1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-audio", model="SHENMU007/neunit_testv1.1")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForTextToSpectrogram processor = AutoProcessor.from_pretrained("SHENMU007/neunit_testv1.1") model = AutoModelForTextToSpectrogram.from_pretrained("SHENMU007/neunit_testv1.1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from SHENMU007/neunit_testv1.1: direct link, hf CLI and curl.
- Browser
- Download file 4.09 kB
-
https://huggingface.co/SHENMU007/neunit_testv1.1/resolve/main/training_args.bin
- Command line
-
hf download hf://SHENMU007/neunit_testv1.1/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/SHENMU007/neunit_testv1.1/resolve/main/training_args.bin
4.09 kB
- Xet hash:
- ad9f95771d0f80fadc3fd0a65c725872cca45ad9aa20c6c5062ca2fa5607072b
- Size of remote file:
- 4.09 kB
- SHA256:
- f7e37b7a0147c463e929557830c9ebadcca625d49b0276dab6a06d3569823519
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