Instructions to use facebook/mms-tts-aka with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use facebook/mms-tts-aka with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="facebook/mms-tts-aka")# Load model directly from transformers import AutoTokenizer, AutoModelForTextToWaveform tokenizer = AutoTokenizer.from_pretrained("facebook/mms-tts-aka") model = AutoModelForTextToWaveform.from_pretrained("facebook/mms-tts-aka", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7f35b9451363f9862a3f688bd386ea17d549e5944e89cb78cf7133dee1c51b6f
- Size of remote file:
- 145 MB
- SHA256:
- e93643449acf79071e0b43a2dc257efffea8454bdc573e1cae13e1399ee1500d
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