Instructions to use facebook/mms-tts-hap with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use facebook/mms-tts-hap with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="facebook/mms-tts-hap")# Load model directly from transformers import AutoTokenizer, AutoModelForTextToWaveform tokenizer = AutoTokenizer.from_pretrained("facebook/mms-tts-hap") model = AutoModelForTextToWaveform.from_pretrained("facebook/mms-tts-hap") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 50d1ea51b344cb03efa784ff9c52039d85afe729ee23e8b4258629bd7be2cbfb
- Size of remote file:
- 145 MB
- SHA256:
- 0c728b4acde357b6699404e2baddfbaca8257db98cad3054073f4b2140c7cc52
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