Instructions to use SHENMU007/neunit_tts_BASE_V1.2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SHENMU007/neunit_tts_BASE_V1.2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-audio", model="SHENMU007/neunit_tts_BASE_V1.2")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForTextToSpectrogram processor = AutoProcessor.from_pretrained("SHENMU007/neunit_tts_BASE_V1.2") model = AutoModelForTextToSpectrogram.from_pretrained("SHENMU007/neunit_tts_BASE_V1.2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from SHENMU007/neunit_tts_BASE_V1.2: direct link, hf CLI and curl.
- Browser
- Download file 4.16 kB
-
https://huggingface.co/SHENMU007/neunit_tts_BASE_V1.2/resolve/main/training_args.bin
- Command line
-
hf download hf://SHENMU007/neunit_tts_BASE_V1.2/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/SHENMU007/neunit_tts_BASE_V1.2/resolve/main/training_args.bin
4.16 kB
- Xet hash:
- 45d544d1653fe3bef51ec26bc27df3664d927c2f1ec2d2035d142ef626586c52
- Size of remote file:
- 4.16 kB
- SHA256:
- 024da8dc11f4e9dde77dc4882ab87f24789aae8b5939dd6fd56d4fb1777f0849
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