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:
- f47a347495e948f1da19bf912d7226969f9ef13ca0f9b63589873e3fa9ba80aa
- Size of remote file:
- 578 MB
- SHA256:
- c2a3a65fd83da9ee5d59879e9279dfbf563a80479e5abe41aac81ba664f8dad1
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