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michael-chan-000
/
tts-v21

Text-to-Speech
Transformers
Safetensors
Qwen3-TTS
English
text-generation
tts
prompttts
qwen3-tts
voice-design
vocence
Model card Files Files and versions
xet
Community

Instructions to use michael-chan-000/tts-v21 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use michael-chan-000/tts-v21 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-to-speech", model="michael-chan-000/tts-v21")
    # Load model directly
    from transformers import AutoModelForSeq2SeqLM
    model = AutoModelForSeq2SeqLM.from_pretrained("michael-chan-000/tts-v21", dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
tts-v21
4.53 GB
Ctrl+K
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  • 1 contributor
History: 2 commits
michael-chan-000's picture
michael-chan-000
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  • __pycache__
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  • speech_tokenizer
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  • .gitattributes
    1.57 kB
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  • README.md
    217 Bytes
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  • added_tokens.json
    904 Bytes
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  • chute_config.yml
    616 Bytes
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  • config.json
    4.42 kB
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  • demo.py
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  • generation_config.json
    245 Bytes
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  • merges.txt
    1.67 MB
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  • miner.py
    14.4 kB
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  • model.safetensors
    3.83 GB
    xet
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  • preprocessor_config.json
    127 Bytes
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  • special_tokens_map.json
    1.01 kB
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  • tokenizer.json
    11.4 MB
    xet
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  • tokenizer_config.json
    7.42 kB
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  • vocab.json
    2.78 MB
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  • vocence_config.yaml
    378 Bytes
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