Instructions to use facebook/mms-tts-acn with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use facebook/mms-tts-acn with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="facebook/mms-tts-acn")# Load model directly from transformers import AutoTokenizer, AutoModelForTextToWaveform tokenizer = AutoTokenizer.from_pretrained("facebook/mms-tts-acn") model = AutoModelForTextToWaveform.from_pretrained("facebook/mms-tts-acn", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a728618d1dc87760d3a0428327cabcf92d899a15cf26a86a4b05ee7f8f791039
- Size of remote file:
- 145 MB
- SHA256:
- 73b687d70e442a21391a0f8a9c237a0ce9fc2fecb953913fcd55fcc955ab5ec6
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