Instructions to use facebook/mms-tts-pui with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use facebook/mms-tts-pui with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="facebook/mms-tts-pui")# Load model directly from transformers import AutoTokenizer, AutoModelForTextToWaveform tokenizer = AutoTokenizer.from_pretrained("facebook/mms-tts-pui") model = AutoModelForTextToWaveform.from_pretrained("facebook/mms-tts-pui", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 883f72dd1580dea99cdba6a6e78f7c92d785145e3747f48eb2c822e1ddf873c7
- Size of remote file:
- 145 MB
- SHA256:
- 597b3ba96de57e842a25ebc2f5aedca90ce946cf30c9f948f79a11d2e086c5dc
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