Instructions to use ramalMr/speecht5_tts_azconn with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ramalMr/speecht5_tts_azconn with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-audio", model="ramalMr/speecht5_tts_azconn")# Load model directly from transformers import AutoProcessor, AutoModelForTextToSpectrogram processor = AutoProcessor.from_pretrained("ramalMr/speecht5_tts_azconn") model = AutoModelForTextToSpectrogram.from_pretrained("ramalMr/speecht5_tts_azconn", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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