Instructions to use piyazon/qutadgu_bilik with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use piyazon/qutadgu_bilik with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="piyazon/qutadgu_bilik")# Load model directly from transformers import AutoTokenizer, AutoModelForTextToWaveform tokenizer = AutoTokenizer.from_pretrained("piyazon/qutadgu_bilik") model = AutoModelForTextToWaveform.from_pretrained("piyazon/qutadgu_bilik") - Notebooks
- Google Colab
- Kaggle
Usage
This model now opensourced! For local usage and test, refer to the HuggingFace Space piyazon/Uyghur-TTS-Text-To-Speech's source code.
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Model tree for piyazon/qutadgu_bilik
Base model
facebook/mms-tts-uig-script_arabic