Instructions to use facebook/mms-tts-gub with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use facebook/mms-tts-gub with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="facebook/mms-tts-gub")# Load model directly from transformers import AutoTokenizer, AutoModelForTextToWaveform tokenizer = AutoTokenizer.from_pretrained("facebook/mms-tts-gub") model = AutoModelForTextToWaveform.from_pretrained("facebook/mms-tts-gub") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 85f23d4dd74a2dd785a5e56a37d9b961daff8713aeb79d17715a71a92336e662
- Size of remote file:
- 145 MB
- SHA256:
- ed9ad5b85fe6f985c8a15976075aa7ee310df525f4519e78c00e8d7dd804bf05
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