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:
- 2c0f950cf037aec92b5751154211bc80c7737960214e16d67957785ba771aa92
- Size of remote file:
- 1.16 GB
- SHA256:
- b83ccc94f5623568c9f70931222963003983523763fcbc7dee7badc6f92d3de9
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