Instructions to use gitgato/tr-xtts with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gitgato/tr-xtts with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="gitgato/tr-xtts")# Load model directly from transformers import AutoProcessor, AutoModelForTextToSpectrogram processor = AutoProcessor.from_pretrained("gitgato/tr-xtts") model = AutoModelForTextToSpectrogram.from_pretrained("gitgato/tr-xtts") - Notebooks
- Google Colab
- Kaggle
Create README.md
Browse files
README.md
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---
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license: mit
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tags:
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- generated_from_trainer
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datasets:
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- voxpopuli
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pipeline_tag: text-to-speech
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base_model: microsoft/speecht5_tts
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model-index:
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- name: tr-xtts
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results: []
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---
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