Instructions to use ahmedjaved812/urdu-tts-phonemes-finetuned-extended with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ahmedjaved812/urdu-tts-phonemes-finetuned-extended with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-audio", model="ahmedjaved812/urdu-tts-phonemes-finetuned-extended")# Load model directly from transformers import AutoProcessor, AutoModelForTextToSpectrogram processor = AutoProcessor.from_pretrained("ahmedjaved812/urdu-tts-phonemes-finetuned-extended") model = AutoModelForTextToSpectrogram.from_pretrained("ahmedjaved812/urdu-tts-phonemes-finetuned-extended") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- dc8827dbc7f2ee82e35d975195f0dbd8cf018751853e836773f28625558e65a0
- Size of remote file:
- 1.47 kB
- SHA256:
- b647b1d5bc1ce54417ba25682a7ca283d54a989bad7e1e500a61a1efde58c2b5
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