Instructions to use facebook/mms-tts-uzb-script_cyrillic with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use facebook/mms-tts-uzb-script_cyrillic with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="facebook/mms-tts-uzb-script_cyrillic")# Load model directly from transformers import AutoTokenizer, AutoModelForTextToWaveform tokenizer = AutoTokenizer.from_pretrained("facebook/mms-tts-uzb-script_cyrillic") model = AutoModelForTextToWaveform.from_pretrained("facebook/mms-tts-uzb-script_cyrillic") - Notebooks
- Google Colab
- Kaggle
Update README.md
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license: cc-by-nc-4.0
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tags:
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- mms
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- vits
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pipeline_tag: text-to-speech
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# Massively Multilingual Speech (MMS): Uzbek Text-to-Speech
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## License
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The model is licensed as **CC-BY-NC 4.0**.
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---
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license: cc-by-nc-4.0
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tags:
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- mms
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- vits
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pipeline_tag: text-to-speech
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language:
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- uz
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# Massively Multilingual Speech (MMS): Uzbek Text-to-Speech
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## License
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The model is licensed as **CC-BY-NC 4.0**.
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