Instructions to use capleaf/viXTTS with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use capleaf/viXTTS with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="capleaf/viXTTS")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("capleaf/viXTTS", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Update config.json
Browse files- config.json +1 -0
config.json
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@@ -57,6 +57,7 @@
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"cudnn_benchmark": false,
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"training_seed": 1,
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"model": "xtts",
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"num_loader_workers": 0,
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"num_eval_loader_workers": 0,
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"use_noise_augment": false,
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"cudnn_benchmark": false,
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"training_seed": 1,
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"model": "xtts",
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"model_type": "xtts",
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"num_loader_workers": 0,
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"num_eval_loader_workers": 0,
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"use_noise_augment": false,
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