Instructions to use denZLS/MULTI_LOD_TTS with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Adapters
How to use denZLS/MULTI_LOD_TTS with Adapters:
from adapters import AutoAdapterModel model = AutoAdapterModel.from_pretrained("fill-in-model-name") model.load_adapter("denZLS/MULTI_LOD_TTS", set_active=True) - Notebooks
- Google Colab
- Kaggle
Download speakers.pth from denZLS/MULTI_LOD_TTS: direct link, hf CLI and curl.
- Browser
- Download file 928 Bytes
-
https://huggingface.co/denZLS/MULTI_LOD_TTS/resolve/main/speakers.pth
- Command line
-
hf download hf://denZLS/MULTI_LOD_TTS/speakers.pth
-
curl -L -o speakers.pth https://huggingface.co/denZLS/MULTI_LOD_TTS/resolve/main/speakers.pth
928 Bytes
- Xet hash:
- bc642ee117a69f0be4c92f9871f13b11b70ba5b099bcbfa1b58cefcb276963e5
- Size of remote file:
- 928 Bytes
- SHA256:
- 8454531413e0b86926fa0ff65ba47a32d0ac66fa8a35d5d23fee0ee34a197a2c
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