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HKUSTAudio
/
Talker-T2AV

Text-to-Speech
Transformers
Safetensors
Chinese
English
talking-head
text-to-video
audio-video-generation
autoregressive
diffusion
Model card Files Files and versions
xet
Community

Instructions to use HKUSTAudio/Talker-T2AV with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use HKUSTAudio/Talker-T2AV with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-to-speech", model="HKUSTAudio/Talker-T2AV")
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("HKUSTAudio/Talker-T2AV", dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
Talker-T2AV
9.69 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 9 commits
ZhenYe234's picture
ZhenYe234
Update README.md
076ca03 verified 1 day ago
  • talker-t2av
    Add Talker-T2AV + WhisperX-VAE weights (model params only, no optimizer state) 3 days ago
  • whisperx-vae
    Add Talker-T2AV + WhisperX-VAE weights (model params only, no optimizer state) 3 days ago
  • .gitattributes
    1.58 kB
    Add Talker-T2AV + WhisperX-VAE weights (model params only, no optimizer state) 3 days ago
  • README.md
    2.73 kB
    Update README.md 1 day ago