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:
- 6a4d3d63f69304c32b58eb2e371ae5e75c544708864a255f9450e8edac2c0e4f
- Size of remote file:
- 145 MB
- SHA256:
- 6e56e00710d0dd51c62d4b7b442a5e7c7c289867f2d1109f0c9c97a488a872ab
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