Instructions to use facebook/mms-tts-bng with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use facebook/mms-tts-bng with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="facebook/mms-tts-bng")# Load model directly from transformers import AutoTokenizer, AutoModelForTextToWaveform tokenizer = AutoTokenizer.from_pretrained("facebook/mms-tts-bng") model = AutoModelForTextToWaveform.from_pretrained("facebook/mms-tts-bng", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ecb74b8ae1cdb5f310f11670d54957122e0d55cc5bfc6613167516ff9511271b
- Size of remote file:
- 145 MB
- SHA256:
- 9214b3560670d1230f38286af4695843ed953bb9668ac76898647989ba92adcf
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