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alefiury
/
G-DFlowTTS-NeuCodec-Emilia-YODAS

Text-to-Speech
Transformers
Safetensors
English
gdflowtts
feature-extraction
audio
speech
tts
zero-shot
voice-cloning
discrete-flow-matching
neucodec
custom_code
Model card Files Files and versions
xet
Community

Instructions to use alefiury/G-DFlowTTS-NeuCodec-Emilia-YODAS with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use alefiury/G-DFlowTTS-NeuCodec-Emilia-YODAS with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-to-speech", model="alefiury/G-DFlowTTS-NeuCodec-Emilia-YODAS", trust_remote_code=True)
    # pip install -U transformers accelerate
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("alefiury/G-DFlowTTS-NeuCodec-Emilia-YODAS", trust_remote_code=True, device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
G-DFlowTTS-NeuCodec-Emilia-YODAS
935 MB
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  • 1 contributor
History: 2 commits
alefiury's picture
alefiury
Upload G-DFlowTTS model
49d9287 verified 2 days ago
  • .gitattributes
    1.52 kB
    initial commit 2 days ago
  • README.md
    6.71 kB
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  • config.json
    790 Bytes
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  • configuration_gdflowtts.py
    2.1 kB
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  • model.safetensors
    932 MB
    xet
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  • modeling_gdflowtts.py
    21.5 kB
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  • tokenizer.json
    3.56 MB
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  • tokenizer_config.json
    315 Bytes
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