Instructions to use suleiman2003/mms-hausa-multispeaker-template with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use suleiman2003/mms-hausa-multispeaker-template with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="suleiman2003/mms-hausa-multispeaker-template")# Load model directly from transformers import MultiSpeakerVITS model = MultiSpeakerVITS.from_pretrained("suleiman2003/mms-hausa-multispeaker-template", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Add model card with metadata
Browse files
README.md
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# Multi-Speaker VITS Model for Hausa
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This is a multi-speaker extension of the MMS-TTS Hausa model from Meta.
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## License
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This model is based on the MMS-TTS model and follows the same licensing terms.
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---
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library_name: transformers
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base_model: facebook/mms-tts-hau
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tags:
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- text-to-speech
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- tts
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- hausa
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- multispeaker
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- vits
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- mms
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language:
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- hau
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license: cc-by-nc-4.0
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pipeline_tag: text-to-speech
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---
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# Multi-Speaker VITS Model for Hausa
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This is a multi-speaker extension of the MMS-TTS Hausa model from Meta.
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## License
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This model is based on the MMS-TTS model and follows the same licensing terms.
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