Instructions to use truong-xuan-linh/speecht5-vietnamese-kcbnvoice with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use truong-xuan-linh/speecht5-vietnamese-kcbnvoice 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-kcbnvoice")# Load model directly from transformers import AutoProcessor, AutoModelForTextToSpectrogram processor = AutoProcessor.from_pretrained("truong-xuan-linh/speecht5-vietnamese-kcbnvoice") model = AutoModelForTextToSpectrogram.from_pretrained("truong-xuan-linh/speecht5-vietnamese-kcbnvoice", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2aff43778b5e64c2f4c4ec532ec2d5e51ab017c17de4f446f46e18cc17e80199
- Size of remote file:
- 578 MB
- SHA256:
- 2c48b86939a44e35e2a5488a62c25e500a733a2f6cd636c90ea5c9ad45affe05
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