Instructions to use AbeShinzo0708/Bert-VITS2_AbeShinzo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AbeShinzo0708/Bert-VITS2_AbeShinzo with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("AbeShinzo0708/Bert-VITS2_AbeShinzo", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download D_64000.pth from AbeShinzo0708/Bert-VITS2_AbeShinzo: direct link, hf CLI and curl.
- Browser
- Download file 561 MB
-
https://huggingface.co/AbeShinzo0708/Bert-VITS2_AbeShinzo/resolve/main/D_64000.pth
- Command line
-
hf download hf://AbeShinzo0708/Bert-VITS2_AbeShinzo/D_64000.pth
-
curl -L -o D_64000.pth https://huggingface.co/AbeShinzo0708/Bert-VITS2_AbeShinzo/resolve/main/D_64000.pth
561 MB
- Xet hash:
- 6d190e637540e25cbc1f002b5ec896f8ce8701acf3a8351d1c8c171b4899b7a5
- Size of remote file:
- 561 MB
- SHA256:
- d719956da90b231682ad4d8251a30dbe3b97d910ac0e5fa766fac9ca38c706fa
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