Text-to-Speech
GLM-TTS
Safetensors
Chinese
English
llm
tts
zero-shot
voice-cloning
reinforcement-learning
flow-matching
Instructions to use ArchiveStudio/GLM-TTS with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- GLM-TTS
How to use ArchiveStudio/GLM-TTS with GLM-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 flow/flow.pt from ArchiveStudio/GLM-TTS: direct link, hf CLI and curl.
- Browser
- Download file 901 MB
-
https://huggingface.co/ArchiveStudio/GLM-TTS/resolve/main/flow/flow.pt
- Command line
-
hf download hf://ArchiveStudio/GLM-TTS/flow/flow.pt
-
curl -L -o flow.pt https://huggingface.co/ArchiveStudio/GLM-TTS/resolve/main/flow/flow.pt
901 MB
- Xet hash:
- 70498c05ab9d3e7fb50f6ac376db0ab0b2b793a033d60b1f890bae7acade1ac2
- Size of remote file:
- 901 MB
- SHA256:
- 532fb30348a9a8df727c8b4b142b3e7a272d5a4f2e2d7b70576c60662943b143
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