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michael-chan-000
/
tts-v0

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

Instructions to use michael-chan-000/tts-v0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use michael-chan-000/tts-v0 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-to-speech", model="michael-chan-000/tts-v0")
    # Load model directly
    from transformers import AutoModelForSeq2SeqLM
    model = AutoModelForSeq2SeqLM.from_pretrained("michael-chan-000/tts-v0", dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle

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  • __pycache__
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  • speech_tokenizer
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  • .gitattributes
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  • README.md
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  • added_tokens.json
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  • chute_config.yml
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  • config.json
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  • generation_config.json
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  • merges.txt
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  • miner.py
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  • model.safetensors
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    xet
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  • preprocessor_config.json
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  • special_tokens_map.json
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  • tokenizer.json
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  • tokenizer_config.json
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  • vocab.json
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  • vocence_config.yaml
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