Instructions to use reach-vb/XTTS-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use reach-vb/XTTS-v2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="reach-vb/XTTS-v2")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("reach-vb/XTTS-v2", dtype="auto") - Notebooks
- Google Colab
- Kaggle
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license: other
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license_name: coqui-public-model-license
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license_link: https://coqui.ai/cpml
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library_name: coqui
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pipeline_tag: text-to-speech
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widget:
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- text: Once when I was six years old I saw a magnificent picture
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license: other
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license_name: coqui-public-model-license
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license_link: https://coqui.ai/cpml
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pipeline_tag: text-to-speech
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widget:
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- text: Once when I was six years old I saw a magnificent picture
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