Instructions to use facebook/mms-tts-ben with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use facebook/mms-tts-ben with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="facebook/mms-tts-ben")# Load model directly from transformers import AutoTokenizer, AutoModelForTextToWaveform tokenizer = AutoTokenizer.from_pretrained("facebook/mms-tts-ben") model = AutoModelForTextToWaveform.from_pretrained("facebook/mms-tts-ben") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d4bfe8c4ef9fccc0da2a98b2fdd9d3beecaee7bab14634eb6bdb2ca9a859f849
- Size of remote file:
- 145 MB
- SHA256:
- 6cf5abbd2902d7f2b4130f4af9bbb275bf84845813f1e552cfc21064f7a4752b
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