Instructions to use neongeckocom/tts-vits-cv-lv with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use neongeckocom/tts-vits-cv-lv with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("neongeckocom/tts-vits-cv-lv", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model_file.pth.tar from neongeckocom/tts-vits-cv-lv: direct link, hf CLI and curl.
- Browser
- Download file 109 MB
-
https://huggingface.co/neongeckocom/tts-vits-cv-lv/resolve/main/model_file.pth.tar
- Command line
-
hf download hf://neongeckocom/tts-vits-cv-lv/model_file.pth.tar
-
curl -L -o model_file.pth.tar https://huggingface.co/neongeckocom/tts-vits-cv-lv/resolve/main/model_file.pth.tar
109 MB
- Xet hash:
- 7822ac17fb3a016504d4aabdf0ec5f8f51198631e9dfc77b26379c4692b5dfe6
- Size of remote file:
- 109 MB
- SHA256:
- 890b411fbdf4435fed8ca283e690fef53f2bb7271b18803e7483573d9f283718
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