Instructions to use JohnsonLin0216/ReConSE with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- F5-TTS
How to use JohnsonLin0216/ReConSE with F5-TTS:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
Download model_70000_inference.pt from JohnsonLin0216/ReConSE: direct link, hf CLI and curl.
- Browser
- Download file 1.58 GB
-
https://huggingface.co/JohnsonLin0216/ReConSE/resolve/main/model_70000_inference.pt
- Command line
-
hf download hf://JohnsonLin0216/ReConSE/model_70000_inference.pt
-
curl -L -o model_70000_inference.pt https://huggingface.co/JohnsonLin0216/ReConSE/resolve/main/model_70000_inference.pt
1.58 GB
- Xet hash:
- 1390edbba68fd61e97159fad4f2beddfbec93976de75f4fdb098e8283fc4a8a0
- Size of remote file:
- 1.58 GB
- SHA256:
- 591ae57f370b30762e1a2717acf048744fcdf960676a98fa48092c7ad92ea70a
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.