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/config.yaml from ArchiveStudio/GLM-TTS: direct link, hf CLI and curl.
- Browser
- Download file 180 Bytes
-
https://huggingface.co/ArchiveStudio/GLM-TTS/resolve/main/flow/config.yaml
- Command line
-
hf download hf://ArchiveStudio/GLM-TTS/flow/config.yaml
-
curl -L -o config.yaml https://huggingface.co/ArchiveStudio/GLM-TTS/resolve/main/flow/config.yaml
180 Bytes
| flow: !new:flow.flow.Flow | |
| spkr_emb_adaLN: True | |
| speech_token_cfg: False | |
| remove_spkr_concat_condition: True | |
| mel_dim: 80 | |
| mel_framerate: 50 | |
| input_frame_rate: 25 |