Instructions to use mio/amadeus with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ESPnet
How to use mio/amadeus with ESPnet:
from espnet2.bin.tts_inference import Text2Speech model = Text2Speech.from_pretrained("mio/amadeus") speech, *_ = model("text to generate speech from") - Notebooks
- Google Colab
- Kaggle
I have two questions
#3
by Loke-60000 - opened
Can we download this model for a personal project ( with proper credit of course) ? and if so can we convert it to an onnx for a webapp?
Thanks in advance!
Yes, You are welcome to do this.
It's great thank you very munch!
So I tried to convert it to '.onnx' but I didn't succeed, one person told me that a '.json' file was needed, is that really the case?
Or is it possible to convert it more simply?
Sorry for that I didn't get enough information for give you suggestions. May I ask you how you convert it ? Do you try the tool espnet onnx tool?
mio changed discussion status to closed