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