Instructions to use truong-xuan-linh/speecht5-vietnamese-voiceclone-lsvsc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use truong-xuan-linh/speecht5-vietnamese-voiceclone-lsvsc 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-voiceclone-lsvsc")# Load model directly from transformers import AutoProcessor, AutoModelForTextToSpectrogram processor = AutoProcessor.from_pretrained("truong-xuan-linh/speecht5-vietnamese-voiceclone-lsvsc") model = AutoModelForTextToSpectrogram.from_pretrained("truong-xuan-linh/speecht5-vietnamese-voiceclone-lsvsc", device_map="auto") - Notebooks
- Google Colab
- Kaggle
# Load model directly
from transformers import AutoProcessor, AutoModelForTextToSpectrogram
processor = AutoProcessor.from_pretrained("truong-xuan-linh/speecht5-vietnamese-voiceclone-lsvsc")
model = AutoModelForTextToSpectrogram.from_pretrained("truong-xuan-linh/speecht5-vietnamese-voiceclone-lsvsc", device_map="auto")Quick Links
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# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-audio", model="truong-xuan-linh/speecht5-vietnamese-voiceclone-lsvsc")