Instructions to use rahafvii/ABG_TTS with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rahafvii/ABG_TTS with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-audio", model="rahafvii/ABG_TTS")# Load model directly from transformers import AutoProcessor, AutoModelForTextToSpectrogram processor = AutoProcessor.from_pretrained("rahafvii/ABG_TTS") model = AutoModelForTextToSpectrogram.from_pretrained("rahafvii/ABG_TTS") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 223c2d6ce0839e92395ce78bc87ef9d22703ae2031511ed7b2f118eb3db58dc0
- Size of remote file:
- 5.37 kB
- SHA256:
- f244d16b2e082266436b1ebc6c33b8b11714def23c0d70c873b1c116239b5f4b
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