Instructions to use facebook/mms-tts-sag with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use facebook/mms-tts-sag with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="facebook/mms-tts-sag")# Load model directly from transformers import AutoTokenizer, AutoModelForTextToWaveform tokenizer = AutoTokenizer.from_pretrained("facebook/mms-tts-sag") model = AutoModelForTextToWaveform.from_pretrained("facebook/mms-tts-sag", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 134 Bytes
8fdc287 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:d8fa29e1060e130798dd13cdc0309903332e08444c05d6c7a406be67232c5cc1
size 145390258
|