Instructions to use facebook/mms-tts-kki with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use facebook/mms-tts-kki with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="facebook/mms-tts-kki")# Load model directly from transformers import AutoTokenizer, AutoModelForTextToWaveform tokenizer = AutoTokenizer.from_pretrained("facebook/mms-tts-kki") model = AutoModelForTextToWaveform.from_pretrained("facebook/mms-tts-kki", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f3c022c860c04aae4973c87c6b6e1446fe03b93396f4c272d15aa3ab93f87f30
- Size of remote file:
- 145 MB
- SHA256:
- ddcea4d764fa49b2db5501c30be3ab7763994f36bb5cdc3304aa008cb3ddcab5
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