Instructions to use TheOriginalMarcelo/test-RVCv2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use TheOriginalMarcelo/test-RVCv2 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("TheOriginalMarcelo/test-RVCv2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download G_2333333.pth from TheOriginalMarcelo/test-RVCv2: direct link, hf CLI and curl.
- Browser
- Download file 438 MB
-
https://huggingface.co/TheOriginalMarcelo/test-RVCv2/resolve/main/G_2333333.pth
- Command line
-
hf download hf://TheOriginalMarcelo/test-RVCv2/G_2333333.pth
-
curl -L -o G_2333333.pth https://huggingface.co/TheOriginalMarcelo/test-RVCv2/resolve/main/G_2333333.pth
438 MB
- Xet hash:
- ba4ee9e55841de03daffe491d947257997018f9dc4d47b1c951533a64bcc670a
- Size of remote file:
- 438 MB
- SHA256:
- 081f9cca867d54f27e2eb4e149a9dfafd744dd3651a22412fcbdab2910b27087
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.