Instructions to use AOLCDROM/XTTSv2-Hi_ft with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AOLCDROM/XTTSv2-Hi_ft with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="AOLCDROM/XTTSv2-Hi_ft")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("AOLCDROM/XTTSv2-Hi_ft", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download best_model_43036.pth from AOLCDROM/XTTSv2-Hi_ft: direct link, hf CLI and curl.
- Browser
- Download file 5.61 GB
-
https://huggingface.co/AOLCDROM/XTTSv2-Hi_ft/resolve/main/best_model_43036.pth
- Command line
-
hf download hf://AOLCDROM/XTTSv2-Hi_ft/best_model_43036.pth
-
curl -L -o best_model_43036.pth https://huggingface.co/AOLCDROM/XTTSv2-Hi_ft/resolve/main/best_model_43036.pth
5.61 GB
- Xet hash:
- c2c1eaa302db54622ffba639eacd7e68af8d3394405527b85331e4ff8c8397ce
- Size of remote file:
- 5.61 GB
- SHA256:
- 27ed88a6030630e8eb203348ae20beece0a587cadb1deb1447f530852542f63a
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