Instructions to use facebook/mms-tts-uzb-script_cyrillic with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use facebook/mms-tts-uzb-script_cyrillic with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="facebook/mms-tts-uzb-script_cyrillic")# Load model directly from transformers import AutoTokenizer, AutoModelForTextToWaveform tokenizer = AutoTokenizer.from_pretrained("facebook/mms-tts-uzb-script_cyrillic") model = AutoModelForTextToWaveform.from_pretrained("facebook/mms-tts-uzb-script_cyrillic") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2ec5449ea066102e675af5618aef42b688283f3af92984d18fad77d6c1b36c12
- Size of remote file:
- 145 MB
- SHA256:
- 7999d9a9c458dae3d1eff0f7da9ae7c905272866f842e1203051570d401d60a1
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.