Instructions to use fusing/unet-grad-tts-dummy with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use fusing/unet-grad-tts-dummy with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("fusing/unet-grad-tts-dummy", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download diffusion_model.pt from fusing/unet-grad-tts-dummy: direct link, hf CLI and curl.
- Browser
- Download file 7.74 MB
-
https://huggingface.co/fusing/unet-grad-tts-dummy/resolve/main/diffusion_model.pt
- Command line
-
hf download hf://fusing/unet-grad-tts-dummy/diffusion_model.pt
-
curl -L -o diffusion_model.pt https://huggingface.co/fusing/unet-grad-tts-dummy/resolve/main/diffusion_model.pt
7.74 MB
- Xet hash:
- 213a803d487323c5b48535a7d9b0d1a019e12292fcca3973466954585177d14f
- Size of remote file:
- 7.74 MB
- SHA256:
- 5743502359415a2cdc7bdb78691474c74af3479561cfdc4451d86fb3c344c2f4
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