Instructions to use facebook/mms-tts-kin with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use facebook/mms-tts-kin with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="facebook/mms-tts-kin")# Load model directly from transformers import AutoTokenizer, AutoModelForTextToWaveform tokenizer = AutoTokenizer.from_pretrained("facebook/mms-tts-kin") model = AutoModelForTextToWaveform.from_pretrained("facebook/mms-tts-kin") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 54f68a71a02d52a884611c68d450482b8b4e35640aa8d2f258486f64256e59c3
- Size of remote file:
- 145 MB
- SHA256:
- 778ca701dd973616e09abf945cd150176d158b32d8353e35185fad0bf5b6fcfb
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