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:
- 35c31f372155e722ffed35bd0619f5d7e34b0239fb0e77de3d2e51fae0ff08c8
- Size of remote file:
- 145 MB
- SHA256:
- 6d074bc05ebf9a6030958aaedc0dc28ad34c780c35b85663dc98c96b5a87f783
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