Instructions to use microsoft/speecht5_tts with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use microsoft/speecht5_tts with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="microsoft/speecht5_tts")# Load model directly from transformers import AutoProcessor, AutoModelForTextToSpectrogram processor = AutoProcessor.from_pretrained("microsoft/speecht5_tts") model = AutoModelForTextToSpectrogram.from_pretrained("microsoft/speecht5_tts") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ffb9c7b6c78d0f8154ed21ee2513723318794617b6440854d12bfcf314091ce2
- Size of remote file:
- 585 MB
- SHA256:
- d60d28067349ef66b50d8cd643ae56b6d6b8f27def929bc4ef6fcad907954190
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