Instructions to use YeQing/speecht5_tts_commonvioce_zh with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use YeQing/speecht5_tts_commonvioce_zh with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-audio", model="YeQing/speecht5_tts_commonvioce_zh")# Load model directly from transformers import AutoProcessor, AutoModelForTextToSpectrogram processor = AutoProcessor.from_pretrained("YeQing/speecht5_tts_commonvioce_zh") model = AutoModelForTextToSpectrogram.from_pretrained("YeQing/speecht5_tts_commonvioce_zh", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1e5cb185bf6798381ebb080bfcbef17ead66eafcce1ddb75421c796cf7a95904
- Size of remote file:
- 4.09 kB
- SHA256:
- a94dadb13e4467e4ddf8316010c594f55c5c501072feb9995e50fa1d328f0dea
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