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zenlm
/
zen-3-tts

Text-to-Speech
Transformers
Safetensors
Qwen3-TTS
English
Chinese
text-generation
zen3
zen3-tts
zenlm
hanzo
speech-synthesis
voice-cloning
12hz
zen-3
Model card Files Files and versions
xet
Community

Instructions to use zenlm/zen-3-tts with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use zenlm/zen-3-tts with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-to-speech", model="zenlm/zen-3-tts")
    # Load model directly
    from transformers import AutoModelForSeq2SeqLM
    model = AutoModelForSeq2SeqLM.from_pretrained("zenlm/zen-3-tts", dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
zen-3-tts / speech_tokenizer
682 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 1 commit
antjeworring's picture
antjeworring
weights: server-side copy from Qwen/Qwen3-TTS-12Hz-1.7B-Base
3e3749e verified 4 days ago
  • config.json
    2.34 kB
    weights: server-side copy from Qwen/Qwen3-TTS-12Hz-1.7B-Base 4 days ago
  • configuration.json
    76 Bytes
    weights: server-side copy from Qwen/Qwen3-TTS-12Hz-1.7B-Base 4 days ago
  • model.safetensors
    682 MB
    xet
    weights: server-side copy from Qwen/Qwen3-TTS-12Hz-1.7B-Base 4 days ago
  • preprocessor_config.json
    234 Bytes
    weights: server-side copy from Qwen/Qwen3-TTS-12Hz-1.7B-Base 4 days ago