Instructions to use pocketmonkey/speecht5_tts_urdu with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pocketmonkey/speecht5_tts_urdu with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-audio", model="pocketmonkey/speecht5_tts_urdu")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForTextToSpectrogram processor = AutoProcessor.from_pretrained("pocketmonkey/speecht5_tts_urdu") model = AutoModelForTextToSpectrogram.from_pretrained("pocketmonkey/speecht5_tts_urdu", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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README.md
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## Model description
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## Intended uses & limitations
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## Model description
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trianed using roman urdu, using a transliteration function normal urdu was mapped to roman urdu.
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## Intended uses & limitations
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