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 speakers-hi/0045_078_mic1.flac from AOLCDROM/XTTSv2-Hi_ft: direct link, hf CLI and curl.
- Browser
- Download file 37 kB
-
https://huggingface.co/AOLCDROM/XTTSv2-Hi_ft/resolve/main/speakers-hi/0045_078_mic1.flac
- Command line
-
hf download hf://AOLCDROM/XTTSv2-Hi_ft/speakers-hi/0045_078_mic1.flac
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curl -L -o 0045_078_mic1.flac https://huggingface.co/AOLCDROM/XTTSv2-Hi_ft/resolve/main/speakers-hi/0045_078_mic1.flac
37 kB