Text-to-Speech
GLM-TTS
Safetensors
Chinese
English
llm
tts
zero-shot
voice-cloning
reinforcement-learning
flow-matching
Instructions to use zai-org/GLM-TTS with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- GLM-TTS
How to use zai-org/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
Add library_name (#12)
Browse files- Add library_name (d024c5dd436458de55ec9058eb53bb1d3aaffafb)
Co-authored-by: merve <merve@users.noreply.huggingface.co>
README.md
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- flow-matching
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license: mit
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pipeline_tag: text-to-speech
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---
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# GLM-TTS: Controllable & Emotion-Expressive Zero-shot TTS
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- flow-matching
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license: mit
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pipeline_tag: text-to-speech
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library_name: glm-tts
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---
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# GLM-TTS: Controllable & Emotion-Expressive Zero-shot TTS
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