Instructions to use ixxan/mms-tts-uig-script_arabic-UQSpeech with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ixxan/mms-tts-uig-script_arabic-UQSpeech with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-audio", model="ixxan/mms-tts-uig-script_arabic-UQSpeech")# Load model directly from transformers import AutoTokenizer, AutoModelForTextToWaveform tokenizer = AutoTokenizer.from_pretrained("ixxan/mms-tts-uig-script_arabic-UQSpeech") model = AutoModelForTextToWaveform.from_pretrained("ixxan/mms-tts-uig-script_arabic-UQSpeech", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 96b3ab797a4f5e81f90e831ce201566ea0c1a56154ed18e50e812b6603887473
- Size of remote file:
- 332 MB
- SHA256:
- d777045c107f65e68a3c05d93fd0cf17285d6ff5f5dfcdc95ce3a5d238a8f6b3
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