Instructions to use facebook/mms-tts-ign with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use facebook/mms-tts-ign with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="facebook/mms-tts-ign")# Load model directly from transformers import AutoTokenizer, AutoModelForTextToWaveform tokenizer = AutoTokenizer.from_pretrained("facebook/mms-tts-ign") model = AutoModelForTextToWaveform.from_pretrained("facebook/mms-tts-ign") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 401794665f6ed11d5fe8f53cab74bfc90d1d7715f772892dca825107523c79e7
- Size of remote file:
- 145 MB
- SHA256:
- 7ac7647e82be3544b120b2b954b3545db41b909319c45f8bc11bcf7a91c3d1c9
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