Instructions to use facebook/mms-tts-tur with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use facebook/mms-tts-tur with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="facebook/mms-tts-tur")# Load model directly from transformers import AutoTokenizer, AutoModelForTextToWaveform tokenizer = AutoTokenizer.from_pretrained("facebook/mms-tts-tur") model = AutoModelForTextToWaveform.from_pretrained("facebook/mms-tts-tur") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f80e1a92bb9cc80b8e60caa1bd6fbc1ef9b583e948e63d184c4363aba6779ea0
- Size of remote file:
- 145 MB
- SHA256:
- 01ba9b4071c70942b3007d2ce82bcf4489d73c82ba90b3a70665ecef5a4c6efe
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