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")# 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_10759.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_10759.pth
- Command line
-
hf download hf://AOLCDROM/XTTSv2-Hi_ft/best_model_10759.pth
-
curl -L -o best_model_10759.pth https://huggingface.co/AOLCDROM/XTTSv2-Hi_ft/resolve/main/best_model_10759.pth
5.61 GB
- Xet hash:
- ec5e5a12f3a4910be9bfc392bb402f0c7cfdd723b287dcaf51b836bad72643b0
- Size of remote file:
- 5.61 GB
- SHA256:
- 4f5c133dc84c8e8660250ed1e2f5968d7de9f0b18b06c34e794b6871cde932bb
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