Instructions to use facebook/mms-tts-sah with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use facebook/mms-tts-sah with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="facebook/mms-tts-sah")# Load model directly from transformers import AutoTokenizer, AutoModelForTextToWaveform tokenizer = AutoTokenizer.from_pretrained("facebook/mms-tts-sah") model = AutoModelForTextToWaveform.from_pretrained("facebook/mms-tts-sah", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 84d789fc164bf6b08531dddd38bae12fce697c450f2f90d43ee9dd5a666ed069
- Size of remote file:
- 145 MB
- SHA256:
- ebb339a9d06bcf1fd14e0196fcdb41d03e705bc0da3b0e8a396070ce4a477f83
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