Instructions to use facebook/mms-tts-sun with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use facebook/mms-tts-sun with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="facebook/mms-tts-sun")# Load model directly from transformers import AutoTokenizer, AutoModelForTextToWaveform tokenizer = AutoTokenizer.from_pretrained("facebook/mms-tts-sun") model = AutoModelForTextToWaveform.from_pretrained("facebook/mms-tts-sun", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 114d1d06ae3cbfc3d17d1b54bf362645f4c3bf45c95112148925e723af8b6be0
- Size of remote file:
- 145 MB
- SHA256:
- 0b981609bbe05c1511a3dfd9b9c5a9fc353ae51a215c6a4734ac58692b15685c
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