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:
- df04a79a14d5c1368a08936dee2f69381eac1eb2b4b1868ddf6b78c6e3f13445
- Size of remote file:
- 578 MB
- SHA256:
- 0b87e0629baa25128e3badb8b563d1abacd3fff00020fb0292ff444f4a1dfd16
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.