Instructions to use facebook/mms-tts-ppk with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use facebook/mms-tts-ppk with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="facebook/mms-tts-ppk")# Load model directly from transformers import AutoTokenizer, AutoModelForTextToWaveform tokenizer = AutoTokenizer.from_pretrained("facebook/mms-tts-ppk") model = AutoModelForTextToWaveform.from_pretrained("facebook/mms-tts-ppk") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5bb6576143c5fa5f81318f52f611e03ac9862869c7cd80a4f2089f291bdc9f79
- Size of remote file:
- 145 MB
- SHA256:
- 03522b4f34b30b8de1da3ad266504ad9bb6a353b3416cda4d076c8c66730d845
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