Instructions to use facebook/mms-tts-pap with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use facebook/mms-tts-pap with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="facebook/mms-tts-pap")# Load model directly from transformers import AutoTokenizer, AutoModelForTextToWaveform tokenizer = AutoTokenizer.from_pretrained("facebook/mms-tts-pap") model = AutoModelForTextToWaveform.from_pretrained("facebook/mms-tts-pap") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- db6e6b0a7d64a42b86942d85e365ff9021c40dc2ca18a552925059fa1ac1e576
- Size of remote file:
- 145 MB
- SHA256:
- c7e307a31fad75be8f90fa704575774fa7512fe2cdeb2085616abe096975dd23
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