Instructions to use facebook/mms-tts-yre with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use facebook/mms-tts-yre with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="facebook/mms-tts-yre")# Load model directly from transformers import AutoTokenizer, AutoModelForTextToWaveform tokenizer = AutoTokenizer.from_pretrained("facebook/mms-tts-yre") model = AutoModelForTextToWaveform.from_pretrained("facebook/mms-tts-yre") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2eac8da0fbb12f295d94811ad648cf9bc83596346a394df910c10858bcf9f02e
- Size of remote file:
- 145 MB
- SHA256:
- e72474af1ced84e19bad89feec34f0d62faae0894d2a025f0d8e024d2666283d
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