Instructions to use facebook/mms-tts-cwt with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use facebook/mms-tts-cwt with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="facebook/mms-tts-cwt")# Load model directly from transformers import AutoTokenizer, AutoModelForTextToWaveform tokenizer = AutoTokenizer.from_pretrained("facebook/mms-tts-cwt") model = AutoModelForTextToWaveform.from_pretrained("facebook/mms-tts-cwt") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 343227e6354b75bb893a5142a6ab6ea2157b0788ea66abd0f3b51d40459647bb
- Size of remote file:
- 145 MB
- SHA256:
- 56791e6650b7c4c722048eff0cc658e56aab43d2904f26f03d0c3c6f9a5fb033
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