Instructions to use NewGame/Emilia-vits-espnet2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ESPnet
How to use NewGame/Emilia-vits-espnet2 with ESPnet:
from espnet2.bin.tts_inference import Text2Speech model = Text2Speech.from_pretrained("NewGame/Emilia-vits-espnet2") speech, *_ = model("text to generate speech from") - Notebooks
- Google Colab
- Kaggle
Download dump/xvector/dev/spk_xvector.ark from NewGame/Emilia-vits-espnet2: direct link, hf CLI and curl.
- Browser
- Download file 3.9 MB
-
https://huggingface.co/NewGame/Emilia-vits-espnet2/resolve/main/dump/xvector/dev/spk_xvector.ark
- Command line
-
hf download hf://NewGame/Emilia-vits-espnet2/dump/xvector/dev/spk_xvector.ark
-
curl -L -o spk_xvector.ark https://huggingface.co/NewGame/Emilia-vits-espnet2/resolve/main/dump/xvector/dev/spk_xvector.ark
3.9 MB
- Xet hash:
- a8bb7789b7222977f26e1756d716c5af0367280d0eda5d89ed44d89c86b988ee
- Size of remote file:
- 3.9 MB
- SHA256:
- affc35e2e715c8760c68d2b4d159714f58364bb52a676e7e92bf45b19daa0089
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