Instructions to use CoderCowMoo/XTTS-v2.0-Joe-Pera with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CoderCowMoo/XTTS-v2.0-Joe-Pera with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("CoderCowMoo/XTTS-v2.0-Joe-Pera", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 28fe93de23dd27eeb30f116619fffc7657de0a49f9e72dbc5f4e48a03c36d9e4
- Size of remote file:
- 8.42 MB
- SHA256:
- 759587203ebb41dc79d6efe25c588dcbbc1c878c0d803f6a9f6d213abf747d73
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