Instructions to use truong-xuan-linh/speecht5-vietnamese-assemblevoice with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use truong-xuan-linh/speecht5-vietnamese-assemblevoice with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-audio", model="truong-xuan-linh/speecht5-vietnamese-assemblevoice")# Load model directly from transformers import AutoProcessor, AutoModelForTextToSpectrogram processor = AutoProcessor.from_pretrained("truong-xuan-linh/speecht5-vietnamese-assemblevoice") model = AutoModelForTextToSpectrogram.from_pretrained("truong-xuan-linh/speecht5-vietnamese-assemblevoice", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ae6001240c1916a26d2328c9f34e70cbf2a8a1c88d59e7dc587d479148bcb6df
- Size of remote file:
- 578 MB
- SHA256:
- 95abf4848e873c5b67d8ecb17847c54c6c98871e8824210cb1136a034e70018d
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