Text-to-Audio
Transformers
PyTorch
TensorBoard
Chinese
speecht5
speecht5_tts_common_voice_zh
Generated from Trainer
Instructions to use wuula/speecht5_tts_common_voice_zh with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use wuula/speecht5_tts_common_voice_zh with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-audio", model="wuula/speecht5_tts_common_voice_zh", device_map="auto")# Load model directly from transformers import AutoProcessor, AutoModelForTextToSpectrogram processor = AutoProcessor.from_pretrained("wuula/speecht5_tts_common_voice_zh") model = AutoModelForTextToSpectrogram.from_pretrained("wuula/speecht5_tts_common_voice_zh", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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