Instructions to use facebook/mms-tts-ctg with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use facebook/mms-tts-ctg with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="facebook/mms-tts-ctg")# Load model directly from transformers import AutoTokenizer, AutoModelForTextToWaveform tokenizer = AutoTokenizer.from_pretrained("facebook/mms-tts-ctg") model = AutoModelForTextToWaveform.from_pretrained("facebook/mms-tts-ctg", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 134 Bytes
c557f78 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:870aa51aa312c2dac365aa425dc3dfca7e3fdb9864069130eeffcdfe09dbe03e
size 145405618
|